2.0 -//Pentabarf//Schedule//EN PUBLISH AQXDAP@@pretalx.surf.nl -AQXDAP Digital Sovereignty, Risks & Trust (DigiD Case Study) en en 20261027T102000 20261027T110000 004000 Digital Sovereignty, Risks & Trust (DigiD Case Study) TBD PUBLIC CONFIRMED Keynote https://pretalx.surf.nl/pidfest-26-2026/talk/AQXDAP/ Naturalis 01 Felienne Hermans PUBLISH E8AL7Q@@pretalx.surf.nl -E8AL7Q PIDs enable inquiry; metadata enables understanding en en 20261027T113000 20261027T120000 003000 PIDs enable inquiry; metadata enables understanding PIDs are popular, as the existence of PIDfest clearly shows! However, just assigning a string of characters to an entity adds limited value. It allows for identification and tracking over time, but little understanding or opportunity for reuse. This is where metadata comes in. Providing a rich, structured, and accurate description of an entity makes it part of the research ecosystem and enables analysis, validation, and further research. When organisations register a PID and deposit metadata, this is only the beginning of what can become a long and fascinating journey. The metadata made available to the community often results from a series of updates and additions over time, sometimes coming from multiple sources and occurring in different ways. We can think of these ways as enrichment layers. Each enrichment layer offers opportunities to improve the metadata, while also introducing its own considerations and challenges. Rather than forming a sequence of clearly separated stages, these layers intertwine, overlap, and affect one another, collectively shaping how a research output is represented and building towards the Research Nexus or scholarly graph. If we relied solely on the original, one-off deposits from members, the metadata would be full of gaps, limiting the usefulness of any analysis or assessment based on it. While scholarly metadata will never be perfectly complete, applying these enrichment layers is how we gradually and collectively build a fuller, more accurate picture of research. One important caveat is that more metadata doesn’t always equal better metadata. In fact, there’s often a delicate tradeoff between completeness and quality: the harder one pushes to fill every gap, the greater the chance of introducing errors. Any enrichment must therefore meet a high bar for accuracy. In this session, we’ll discuss the four layers of enrichment: - Member updates - Community feedback loop - Metadata matching - Third-party data sources We’ll invite the community to comment on the usefulness of the different methods and to make additional suggestions for enrichment processes. We hope that the session will lead to a lively discussion on how we can improve metadata together. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/E8AL7Q/ Naturalis 01 Helena Cousijn Ginny Hendricks Amanda French PUBLISH JRV7RX@@pretalx.surf.nl -JRV7RX Closing the Gap: Roadmap to Global PID Adoption and Equity en en 20261027T120000 20261027T123000 003000 Closing the Gap: Roadmap to Global PID Adoption and Equity While persistent identifiers (PIDs) are foundational to a robust global research infrastructure, their effective adoption by governments and research-performing institutions remains uneven, particularly in the Global South. PIDs(such as ORCID iDs for researchers and DOIs for research outputs) ensure that outputs and data about the research career are discoverable, properly attributed, and interoperable across global systems, and, when adopted strategically, can lead to better global ranking performance. However, a significant "adoption gap" exists between the Global North and the Global South. While there are over 11 million individual researchers with an active ORCID iD from every country in the world, institutional memberships and integrations in Latin America, the Caribbean, Asia, and Africa are still lagging. This session explores the challenges faced by communities in Latin America and the Caribbean (LAC), Asia and Africa and how to close the gap. From initiatives like the ORCID Global Participation Program and the Regional Consortium model, we will discuss systemic barriers, such as financial and human constraints and infrastructure gaps and showcase successful, community-led solutions that promote Open Science and FAIR principles. Based on recent landscape assessments, the primary obstacles to PID adoption include: - Infrastructure & Technical Gaps: A lack of existing organisational infrastructure and human capacity to support and sustain national PID consortia. - Financial Models: Current fee structures are often unrealistic for the economic realities of many African, Latin American, and Caribbean institutions. - Political & Linguistic Hurdles: Fluctuating political support for Open Science and the dominance of English in global infrastructure create additional layers of exclusion. - Awareness & Capacity: A general lack of awareness regarding the tangible benefits of PIDs for local researchers and institutions. Proposed Solutions & Success Stories The proposal highlights active strategies currently being used to mitigate these barriers: - Community-Led Integrations: Partnering with established regional leaders—such as LA Referencia, SciELO, Redalyc, PKP and NRENs Alliances—to embed PIDs into existing local workflows. - The Regional Consortium Model: Implementing regional initiatives (such as the LAC Regional Consortium led by Consortia SAS, and the Arab Regional consortium led by ASREN) allows smaller organisations to pool resources and build a "community of practice" without the burden of sustaining a standalone national consortium. - Equity Programs: Utilising programs like the ORCID Membership Equity Program (MEP), to facilitate that organisations in low and lower-middle-income countries participate. - Targeted Funding: Awarding strategic grants to support adoption in specific countries to jumpstart technical integrations and community building. Learning Objectives: - Share the specific socio-economic and technical barriers to ORCID integrations in LAC, Asia and Africa. - Learn how the "Regional Consortium" model can scale adoption in underrepresented regions. - Identify how global infrastructure providers can adapt their models to be more inclusive and equitable. - Increase awareness of the impact of a strategic adoption of PIDs as part of data management best practices. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/JRV7RX/ Naturalis 01 Ana Cardoso Ana Heredia Lombe Tembo PUBLISH 8EWYZV@@pretalx.surf.nl -8EWYZV PID Fix-it 🚀: lessons from the Dutch Open Research Information Monitor en en 20261027T123000 20261027T130000 003000 PID Fix-it 🚀: lessons from the Dutch Open Research Information Monitor *Do you depend on persistent identifiers to connect research information across systems, but still encounter missing ORCIDs, incomplete affiliations or inconsistent metadata?* Many infrastructures assume that PIDs solve these problems automatically. In reality, connections between research outputs, researchers and institutions often remain incomplete. In this session you will explore the **Dutch Open Research Information Monitor**, developed within the PID-to-Portal project. The monitor analyzes how persistent identifiers function in practice across the research information ecosystem. The monitor combines open research information sources such as **OpenAlex, OpenAIRE and Crossref** with institutional research information systems to assess: * PID coverage * metadata completeness * openness of research metadata * consistency of identifiers across systems Using real use cases from Dutch universities and research funders, the project identifies where PID connections succeed and where they break down. You will see examples of monitoring dashboards that reveal gaps such as: * missing ORCID identifiers for authors * missing or inaccurate ROR identifiers for affiliations * coverage of research outputs across sources * unclear licensing for research metadata reuse Beyond identifying problems, the project also explores **interventions that improve the research information ecosystem**. These range from improving publisher metadata deposits to strengthening institutional workflows and open infrastructure services. By the end of the session you will better understand: * how PID ecosystems can be monitored at national scale * where the biggest barriers to connected research information occur * how coordinated community interventions can improve PID adoption and metadata quality This session contributes to the PIDfest theme **“Keeping Knowledge Connected”** by showing how monitoring helps strengthen the connections between people, institutions, outputs and infrastructures. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/8EWYZV/ Naturalis 01 Maurice Vanderfeesten Bianca Kramer PUBLISH TEYHNB@@pretalx.surf.nl -TEYHNB Sustaining Shared PID Infrastructure: Principles and Practices en en 20261027T141500 20261027T144500 003000 Sustaining Shared PID Infrastructure: Principles and Practices Open scholarly infrastructure underpins the global research ecosystem, and the metadata describing research outputs, which includes persistent identifiers (PID), enables their connection, discovery, and reuse. While much attention is given to technical interoperability, less attention has been given to how the long-term sustainability of this infrastructure depends on how it is operated, governed, and supported. This session focuses on practical lessons from sustaining key components of the open scholarly infrastructure ecosystem, including Crossref, DataCite and the Research Organization Registry (ROR). These infrastructures were created to address shared community needs and have evolved into globally relied-upon services. Their continued collective community value depends on coordinated and strategic efforts to leverage, connect, and build upon existing solutions. We will focus on three core areas: 1. Sustaining operations, not just building services Reliable infrastructure requires clear operational models, sustainable funding, and accountability. We will share how infrastructures such as DataCite, Crossref, and ROR balance openness with financial sustainability, ensuring services remain stable, trusted, and responsive to community needs. 2. Principles that guide decision-making Sustainability is grounded in clear, shared principles. We will draw on the Principles of Open Scholarly Infrastructure (POSI) to show how commitments to openness, transparency, sustainability, and community governance translate into day-to-day operational decisions. This includes how priorities are set and trust is maintained across a diverse network of global stakeholders. 3. Building an ecosystem, not duplicating effort A key challenge in open infrastructure is fragmentation. Too often, new services are created where coordination would be more effective. We will highlight the importance of investing in and extending existing infrastructure, aligning efforts across organizations and initiatives and working collaboratively to strengthen interoperability and reduce duplication. During the session we will emphasise practical approaches rather than theory. This includes how to align stakeholders, establish governance that reflects shared ownership, and make operational decisions that support long-term resilience. This session is particularly relevant for organizations building or sustaining open scholarly infrastructure, as well as repository managers, research infrastructure providers, and PID implementers working to integrate and use shared services effectively. It will also be valuable for funders and policy makers shaping and supporting sustainable research infrastructure models. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/TEYHNB/ Naturalis 01 Matt Buys Ed Pentz PUBLISH 397U9X@@pretalx.surf.nl -397U9X Desirable Characteristics of PIDs and PID Systems: Developing a NISO PID Standard en en 20261027T144500 20261027T151500 003000 Desirable Characteristics of PIDs and PID Systems: Developing a NISO PID Standard What makes a persistent identifier truly trustworthy and long-lasting? In this session, you’ll learn about the National Information Standards Organization (NISO) PID working group’s effort to develop a standard that defines the characteristics of PIDs and PID systems used in scholarly communication and research. PIDs have evolved from helpful tools to essential research infrastructure, underpinning discovery, transparency, and accountability across the global scholarly ecosystem. In the United States, broad community adoption, combined with increasing federal funder requirements, has created a need for shared guidance and clear, consistent standards. Because PID systems have matured into more common research infrastructure, the group has been able to develop a standard based on the collected experience of PID providers and users. You’ll discover how this effort builds on foundational work from the Research Data Alliance National PID Strategies Interest Group, the U.S.-focused national PID strategy report organized by the Open Research Funders Group (ORFG), and the International Organization for Standardization (ISO) subcommittee on identification report, among other documents. Together, these efforts aim to ensure that PIDs are reliable, interoperable, and durable components of the research enterprise. After this session, you’ll have: - A set of normative characteristics for PIDs being used in scholarly communication and research. - An understanding about the community process that went into developing this NISO standard. - Ideas for how you might use these characteristics in developing and using PID systems. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/397U9X/ Naturalis 01 Carly Robinson John Chodacki Rachael Kotarski Jonathan Clark PUBLISH QAGLUX@@pretalx.surf.nl -QAGLUX Leveraging PIDs for Global Research Security and Integrity en en 20261027T151500 20261027T154500 003000 Leveraging PIDs for Global Research Security and Integrity In an increasingly complex global research environment, maintaining transparency and protecting intellectual property has become a critical challenge for research institutions. Current security models often suffer from a "visibility gap" caused by a heavy reliance on manual, paper-based self-disclosures and fragmented data scattered across disconnected systems. This presentation explores how Persistent Identifiers (PIDs), long-lasting digital references to researchers, institutions, and outputs, are evolving from library tools into essential infrastructure for research security and integrity. Central to this session is the role of PIDs in building a trustworthy research ecosystem. By serving as the digital "connective tissue" between entities, PIDs enable automated validation and real-time tracking, shifting security from an annual administrative burden to a continuous process of integrity monitoring. We will examine the "Big Six" pillars of this ecosystem: ORCID: The researcher’s "Passport". ROR: The "Verified Address" for institutions. DOI: The "Fingerprint" for publications and data. Grant ID, RAiD, and RRID: Critical identifiers for tracking federal funding, project "envelopes," and core research facilities. The core of the presentation will highlight how PIDs function as security "sensors" to uphold research integrity. By leveraging interoperability, PIDs allow institutions to automatically flag conflicts of interest when affiliations do not match funding sources, uncover "shadow labs" by tracking where research is actually published, and ensure funding integrity by linking Grant IDs directly to specific outputs. This digital mapping makes it significantly harder for high-risk collaborations or misattributed funding to hide in the "noise" of bad data. While the session addresses US compliance—specifically NSPM-33 and standardised disclosure requirements for agencies such as the DOE and NSF—it situates these efforts within a broader global context. With over 11 million active ORCID iDs and 100,000 ROR institutions registered worldwide, PIDs have become the international standard encouraged by G7 and G20 members to balance open science with national security. The session concludes with a call to action for institutional leaders to audit their PID integrations and establish bilateral ORCID integrations. By writing employment, funding, and works directly to ORCID records, institutions can reduce administrative overhead while building a robust defence against foreign influence and misattribution. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/QAGLUX/ Naturalis 01 Paloma Marin Arraiza Lori Ann Schultz PUBLISH SB87YS@@pretalx.surf.nl -SB87YS PID as a key to history – How they Help Shed Light on Over a Century of Research Funding en en 20261027T113000 20261027T120000 003000 PID as a key to history – How they Help Shed Light on Over a Century of Research Funding At PIDFest 2024 in Prague, we introduced the project “[GEPRIS Historisch](https://gepris-historisch.dfg.de/).” The database was released in 2020 on the occasion of the 100th anniversary of the German Research Foundation (DFG). It allows users to research more than 50,000 research projects submitted by around 13,000 scientists (and a small number of women scientists) who applied for DFG funding between 1920 and 1945. The focus of our presentation in Prague was the question of which steps are required to enrich this historical material with data from other sources. Naturally, particular attention was given to the use of Persistent Identifiers (PIDs). At the end of 2025, the extensive data from GEPRIS Historisch were published on [Zenodo as a scientific analysis dataset](https://zenodo.org/records/14849869). At the beginning of the presentation, we will show a few example analyses that may inspire you to explore the data yourself and conduct your own investigations. In the main part of the presentation, we will outline the current plans for further expanding the documentation of the DFG’s funding history. Two key points are central here. GEPRIS Historisch covers the period up to 1945, while the database “[GEPRIS](https://gepris.dfg.de/)” documents DFG-funded projects since 1999 (around 150,000 cases). Between these two periods there is a gap, which we aim to close step by step. As a first step, planned for completion in 2026, we will make project records from 1949 (the year the DFG was re-established) to 1968 accessible. Initially, we will focus on researchers who were already active in the DFG system before 1945. From the perspective of the history of science, these individuals are of particular interest, as this allows us to trace on an individual level whether and how both those persecuted by the Nazi regime and those who actively participated in it found their way back into (DFG-funded) research after the Second World War. To ultimately bridge the gap to the present day, we are currently preparing a wide range of additional sources, including around 250,000 funding files from the 1970s to the 1990s, which are currently being digitized. Two challenges are particularly important here: a) identifying sources that yield the richest possible information b) developing efficient methods for reliably assigning persistent identifiers (PIDs) Since the work on GEPRIS Historisch, we have developed new methods for PID assignment, which we would like to present. So if you are wondering how it is possible to manage a reasonably robust system for assigning appropriate PIDs to tens of thousands of researchers, and thereby create a key that unlocks access to dozens, if not hundreds, of additional sources, this presentation will be exactly what you are looking for. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/SB87YS/ Naturalis 02 Richard Heidler Juergen Guedler PUBLISH KUGH9X@@pretalx.surf.nl -KUGH9X Breaking the Barriers: PIDs Sustaining Connected Knowledge in DiSSCo en en 20261027T120000 20261027T123000 003000 Breaking the Barriers: PIDs Sustaining Connected Knowledge in DiSSCo Do you struggle to keep your research data connected to the physical objects from which it was derived? Are you finding it difficult to move beyond "static" records toward truly sustainable, interlinked data? In this session, you will discover how the Distributed System of Scientific Collections (DiSSCo) is tackling the massive challenge of connecting 1.5 billion biological and geological specimens across Europe. You will hear about the shift from fragmented local databases to a unified digital infrastructure where every specimen has a "digital twin". We will dive into the real-world hurdles of PID adoption, like technical debt and institutional buy-in, and show you how we are building a system that doesn’t just store data but keeps it alive and connected for decades while maintaining full provenance. You will gain direct insight into our implementation of FDO-compliant PIDs. Specifically, you will learn how we utilize Handles and DOIs for high-performance resolution, machine actionability and citable, scholarly discovery. We will explain how we deal with versioning and keeping provenance. We will also demystify how we use a GUPRI Level (Globally Unique, Persistent, Resolvable Identifier) standardized vocabulary to describe to what extent external identifiers included in the metadata are a persistent identifier. By the end of this talk, you will: - Understand the advantages of FDO-compliant DOIs : Learn how making use of advanced capacities of the Handle infrastructure aids open data, AI readiness and how it was used to provide versioning and multiple redirects. - Identify practical solutions for sustainability: Gain insights into how we address the financial and technical barriers that often stop long-term PID initiatives in their tracks. - See the power of "Connected Knowledge": Discover how linking identifiers across disciplines, from genomics to climate science, unlocks new research possibilities that were previously impossible. Whether you are a software engineer, a data architect, a researcher or just someone curious about how we make billions of tiny things persistently findable and machine actionable on the web, you'll walk away with a roadmap for overcoming the barriers to persistent, sustainable knowledge. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/KUGH9X/ Naturalis 02 Wouter Addink PUBLISH K7BBRL@@pretalx.surf.nl -K7BBRL ELMO: Making PIDs and metadata easy for your geoscientific data publications en en 20261027T123000 20261027T130000 003000 ELMO: Making PIDs and metadata easy for your geoscientific data publications Submitting research data to domain repositories often overwhelms researchers with complex metadata schemas, unfamiliar PID systems, and technical details like scheme URIs or identifier types. This leads to incomplete or incorrect persistent identifiers – despite their crucial role in data discoverability and linking. ELMO (Enhanced Laboratory Metadata Organizer), the new web-based metadata editor from GFZ Data Services, solves this by hiding technical complexity while delivering immediate benefits from PID use. ELMO offers a tailored, intuitive interface that shows only researcher-relevant fields – as simple as any online form. Behind the scenes, it automatically handles PID types, scheme URIs and identifier schemas to produce valid DataCite 4.7 XML files ready for GFZ curators. These include ORCIDs for authors/contributors, ROR IDs for affiliations/funders, SPDX identifiers for licenses, and – as a recent update – instrument identifiers via PIDINST lookup using the B2INST3 API. ELMO's "premium features" make PIDs genuinely helpful: Enter an ORCID and ELMO preloads the person's details from the ORCID API (fields remain editable), saving time while encouraging profile maintenance. ROR autocomplete helps select institutions/funders effortlessly. In "related works," ELMO auto-detects entered PIDs (DOI, Handle, ARK, PID4INST) and sets the correct identifier type – no PID expertise needed. Controlled vocabularies (GCMD keywords, geoscience terms) guide consistent entry, and all PID sources update automatically via APIs without per-entry calls. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/K7BBRL/ Naturalis 02 Tatjana Antipanova Holger Ehrmann PUBLISH JNMGHG@@pretalx.surf.nl -JNMGHG Your contract says ‘Open Access’, but does it say ‘Open Metadata’? en en 20261027T141500 20261027T144500 003000 Your contract says ‘Open Access’, but does it say ‘Open Metadata’? Publisher contracts usually contain many specific clauses around open access publishing and full text access. But what is said about (open) metadata in these contracts, and how does this differ across publishers and consortia? To get a better overview on this, it is useful to systematically collect information on how metadata are currently included in publisher contracts. This information can provide examples of current practice, including differences among how publishers and consortia approach this topic. Looking forward, this can inform future negotiations around open metadata in publisher contracts. The ESAC Registry of Open Publishing Agreements, maintained by OA2020, provided access to a large corpus of publisher contracts, many of which are available in full text. This allows for a systematic analysis of the extent to which open metadata are currently included in such contracts, and for the resulting data to be publicly shared. As of December 2025, the ESAC registry contained 635 current contracts (i.e. valid in 2025), of which 230 included a link to the full text of the contract. In total, full text contracts are available for 23 countries (or groups of countries) and 48 publishers. Initially, we looked at contracts from two library consortia, Jisc (UK) and Bibsam (Sweden) as well as publisher contracts across Germany (DEAL, TIB and SUB Göttingen). Information from these contracts was collected in a systematic way, recording and coding each mention of metadata in a contract. This provides both the full text and provenance of each mention, as well as a way to enable categorizing and comparing mentions across contracts. Initial observations include: - large variation in public availability of contracts - existing gaps in contracts: e.g., permission for full text but not for metadata reuse - missing commitments of PID (ORCID, ROR, Funder IDs) use and provision - differences in metadata provision across consortia and publishers: to Crossref, to library systems, to discovery tools - real-world data showing ROR IDs are rarely submitted to Crossref The approach and template described here can be useful to bring together public information across publisher contracts, compare and contrast publishers and consortia, and push for stronger open metadata clauses in publisher contracts. For one country this is a relatively time-constrained task, but across the full ESAC corpus, this quickly becomes a much larger project. We share our reusable analysis method so you can audit your own contracts and potentially contribute to a collectively organized analysis of publisher contracts. 1. https://esac-initiative.org/about/transformative-agreements/agreement-registry/ 2. https://oa2020.org/2025/10/02/barcelona-declaration-and-oa2020-launch-joint-task-force-on-negotiating-openness-of-publication-metadata/ 3. https://oa-datenpraxis.de/en/ PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/JNMGHG/ Naturalis 02 Bianca Kramer Sophia Dörner PUBLISH KFLC8L@@pretalx.surf.nl -KFLC8L What Happens When You Connect Every PID You Can Find en en 20261027T144500 20261027T151500 003000 What Happens When You Connect Every PID You Can Find PRSM, a knowledge graph connecting 28+ million relationships across publications, repositories, people, and institutions, exists because persistent identifiers exist. This presentation demonstrates the value PIDs provide today and why that value grows as AI transforms research. Let's start with 59 DOIs and 43 GitHub URLs. PRSM follows the identifiers outward. DOIs lead to authors with ORCIDs, authors lead to institutions with ROR IDs, repositories link to publications via CITATION.cff, dependency manifests connect to packages across 7 ecosystems, and a self-expanding discovery chain builds from there. From those 102 seeds, PRSM assembles a knowledge graph of 3,990 entities and 13,258 relationships: 90,700 citations, 2.18 billion downloads, 3,500 contributors across 144 institutions, and 461 hidden dependencies no manifest declares. It surfaces the full impact story of research: which fields use your work, which institutions depend on it, which software powers it, which people sustain it, and how it all connects. A researcher can show a funder their true footprint across publications and code. An institution can discover contributions it didn't know its people were making. A funder can trace where investment lands across papers, software, communities, and infrastructure. PRSM also identifies the specific people holding ecosystems together: longevity leaders with sustained maintenance activities, collaboration bridges connecting disparate research communities, and cross-project contributors working across multiple codebases and research elements. It calculates bus factors, flags at-risk projects, and models cascade failure paths, giving funders and institutions visibility into sustainability risks that no single data source can surface. None of this exists in any single system. All of it becomes visible because persistent identifiers make it possible to follow the connections. That value is about to multiply. AI agents are generating synthetic data, automated analyses, and machine-written code at a scale human researchers never could. Every one of those artifacts needs to be traced, attributed, and verified. Without persistent identifiers, there is no provenance chain from an AI-generated result back to the data, models, and code that produced it. PIDs are how AI-assisted research stays trustworthy. This presentation utilizes a live portfolio analysis to: - Demonstrate what becomes visible when you connect PIDs across systems at scale - Show how persistent identifiers enable full research impact measurement across publications, software, people, and institutions - Explore why PIDs become even more essential as AI-generated artifacts enter the research ecosystem - Discuss what identifier infrastructure looks like when it needs to scale to trillions of generated artifacts at zero marginal cost PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/KFLC8L/ Naturalis 02 Jonathan Starr PUBLISH QMX7JC@@pretalx.surf.nl -QMX7JC How do you solve a riddle like ‘Reviewed preprint’? PIDs and metadata in a ‘Publish, Review, Curate’ publishing model en en 20261027T151500 20261027T154500 003000 How do you solve a riddle like ‘Reviewed preprint’? PIDs and metadata in a ‘Publish, Review, Curate’ publishing model Crossref’s schema is content-based, requiring metadata registrants to declare what type of content they are registering (e.g. journal article, posted-content, book chapter, grant, etc.). This poses a challenge when releasing new research output types. In eLife’s case, in 2023 we introduced the concept of a ‘[Reviewed preprint](https://elifesciences.org/inside-elife/e793d834/what-is-a-reviewed-preprint)’ (although the concept is not entirely new, cf. ‘refereed preprints’), it doesn’t neatly map to Crossref’s existing content types. Is it a preprint, a journal article, something else (should Crossref update their schema to accommodate this new item)? There has been some recent debate on this particular issue in the context of MetaROR [1], [2]. In addition we had competing requirements: a) it is best practice to mint a DOI for each revision, and doing so enables us to effectively link peer reviews which pertain to a particular version. b) we know our authors prefer the simplicity of having one DOI per ‘article’ (across all versions), for citation counts, and to limit the proliferation of records downstream. Having a stable DOI allows authors to always point to the latest version of the article in grant applications, which is particularly important in a publishing model that emphasises article-level (even version-level) research assessment over metrics such as Impact Factor. We opted to do both (a unique DOI for each version and then an ‘umbrella’ DOI which always links to whichever version is the latest, making extensive use of Crossref's 'relations' to disambiguate and link all the versions). The session will detail the path eLife took, and more importantly why we took it, as well as outlining the positives (transparency, etc.) and negatives (the impact downstream of having multiple DOIs for the same article) of the approach. If there’s space to, I may also compare it to the approach taken by MetaROR, which could prove fruitful for discussion and further thought. [1] Waltman L., and Brasil A. (2025) Innovation in scientific publishing and its implications for Crossref DOI registration practices - Request for input, _Crossref Blog_. https://www.crossref.org/blog/innovation-in-scientific-publishing-and-its-implications-for-crossref-doi-registration-practices-request-for-input/ [2] Waltman L., and Brasil A. (2026) Innovation in scientific publishing and its implications for Crossref DOI registration practices - MetaROR’s approach, _Crossref Blog_. https://www.crossref.org/blog/innovation-in-scientific-publishing-and-its-implications-for-crossref-doi-registration-practices-metarors-approach/ PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/QMX7JC/ Naturalis 02 Fred Atherden PUBLISH BQBUGA@@pretalx.surf.nl -BQBUGA Implementing PID Workflows in a Major Project - FAIR Samples and FAIR Station Case Study en en 20261027T113000 20261027T120000 003000 Implementing PID Workflows in a Major Project - FAIR Samples and FAIR Station Case Study How do you approach incorporating PIDs effectively into a major project? How do you understand what workflows need to be supported to enable FAIR practices across the research lifecycle? In this session, you will learn how to approach the discovery process for PID workflows through our examples of two major projects, FAIR Samples and FAIR Station. Both are focused on developing end-to-end research workflows through implementing interoperability between existing research tools, and a major part of this work revolves around how PIDs (in our case, ORCID, DOI, ROR, IGSN ID, PIDINST, DMP ID) are utilised as vessels for data and metadata transfer between tools across all stages of the research lifecycle. FAIR Samples is focused on end-to-end sample workflows, while FAIR Station relates to end-to-end field station project and output tracking; however, the process of understanding workflow and PID requirements is generalisable to projects independent of domain. You will learn how to utilise user research and design techniques to clarify the needs of representative personas that are engaged in research workflows, detail use cases to facilitate communication and agreement across parties involved in the project, and considerations that are particularly relevant to PID workflows, such as PID “stewardship” and access flows. You will discover how to approach PID implementation practically in a concrete project with specific tools being integrated, to ensure maintainability and sustainability of the PID pipelines. You will also gain insight into how to focus the design on usability and user-friendliness, making PIDs easy to use and utilise them as an integrating force that enhances data discovery, rather than an additional point of friction that real-life researchers will not adopt. We hope that you will come away from this session with a blueprint on how to approach major interoperability projects in a pragmatic way, and how to anticipate and avoid common design pitfalls. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/BQBUGA/ LUMC01 Maria Praetzellis Rory Macneil PUBLISH 8F7VWU@@pretalx.surf.nl -8F7VWU Traceability and transparency of the data supporting research outcomes -- how can this be applied through a citation? en en 20261027T120000 20261027T123000 003000 Traceability and transparency of the data supporting research outcomes -- how can this be applied through a citation? In this presentation , you will learn how we could revolutionise the way the attribution of credit works for data through citation. The current scholarly communication landscape does not easily support the ability for an author to cite a large number of existing data and other digital objects in their manuscript in a way that enables credit for each object, as well as the provenance needed for transparency and traceability, which is critical for compliance with the Open Science paradigm. Do you think we can resolve this through existing infrastructure? Through the Research Data Alliance, both the former Complex Citation Working Group and the current Complex Citation Implementation Interest Group have been working on a solution that we hope will help authors, journals, repositories and others to use existing infrastructure and standards to build the bridges needed to allow those with the technical skills to visualise and connect the dots that allow you to show the impact of any research artefacts that you collect/generate (samples, software, data, models, etc). You can join us to see how we want to use DOIs as a signpost for PIDs of all forms to enable citation to work for you, make your research transparent and reproducible, and in particular, enable you to report to your funders and your host institutions on the uptake and reuse of your research inputs and outputs. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/8F7VWU/ LUMC01 James Ayliffe Martina Stockhause Justin Buck PUBLISH 33KJVL@@pretalx.surf.nl -33KJVL More PIDs in More Places: Better Data and Interfaces en en 20261027T123000 20261027T130000 003000 More PIDs in More Places: Better Data and Interfaces In this session you'll learn how and why Stanford University is integrating more PIDs throughout its research infrastructure. You may recognize from your own institutions the decentralized nature of many of these efforts, which we've pieced together into an integrated set of PID-powered services. You'll learn about the rationale for the paths we've chosen, the benefits we've seen, the challenges we've encountered, and the work we have yet to do. We'll focus on three case studies from our work that highlight ORCID iDs, DOIs, and a new PID for bibliographic description. Our first case study shows how our [authorize.stanford.edu](https://authorize.stanford.edu) service allows researchers to connect their ORCID iD to their university credentials and authorizes Stanford to push information to ORCID records. This service is the hub for a web of interconnections among our institutional researcher information system, Stanford Profiles, and the Stanford Digital Repository (SDR). ORCID iDs are included in both Profiles and SDR records and from these sources we push article publication information and published datasets and code to ORCID records. Over time we've improved ORCID entry options in our SDR campus deposit application; these improvements streamline the user experience and improve the metadata. However, we have more work to do so that our ORCID options work equally well for all authors and records make the full circle back to the Profiles system. In our second case study, you'll learn about our new easier workflow for depositing manuscripts into the SDR utilizing existing DOI metadata, which was prompted by the recommendation of a Stanford faculty committee reviewing the Open Access Policy. You'll see how our latest SDR deposit workflow, developed in response to this recommendation, simplifies the process by retrieving key metadata including ORCID iDs and RORs from the DOI for published work. However, not all articles have a DOI (or have one yet), and not all DOI metadata is as complete as we would like. You'll hear how we are using AI on a small scale to assist with this process when needed, and how we plan to address these challenges in the future by extending AI use and providing COMET-style enhancements to both DOI and ORCID metadata. In our last case study, you'll hear about Blue Core URIs as persistent identifiers and about our multi-year project to move to BIBFRAME, a linked open data successor to MARC for bibliographic description. Blue Core seeks to build a common set of linked open data URIs for BIBFRAME so that institutions can collaboratively create catalog "records" in a shared, authoritative pool of data. This model embraces a global network of catalog metadata, with Blue Core URIs serving as PIDs. Blue Core includes a data store and API, and like other PIDs, includes a URI with associated metadata for querying and reuse. A collaborative editing environment will ensure that all institutions benefit from the most comprehensive data pool and continuous updates. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/33KJVL/ LUMC01 Amy Hodge Kalliopi Mathios Peter Mangiafico Tom Cramer Rochelle Lundy PUBLISH ASBX8V@@pretalx.surf.nl -ASBX8V Modern Research Rodeo: Wrangling AI-slop using PIDs after the horse has bolted - Stepping into the arena en en 20261027T141500 20261027T150000 004500 Modern Research Rodeo: Wrangling AI-slop using PIDs after the horse has bolted - Stepping into the arena In “Modern Research Rodeo: Wrangling AI-slop using PIDs after the horse has bolted” representatives from the Knowledge Exchange group PIDs4AI presented their vision for how PIDs can address the proliferation of generative AI (genAI) outputs and their opaque provenance with a value-based approach that focuses on: transparency over detection, infrastructure over policy, normalisation over stigma, evolution over perfection and coordination over fragmentation. However, with ~84% of researchers worldwide reporting using AI tools in 2025 (according to Google's AI overview), we need more perspectives than the six European institutions who represent Knowledge Exchange. The session will start with a brief recap of the previous presentation of our vision. This will provide enough context for participants who missed our previous session to participate (though we recommend both, if you really want to embed yourself in the topic). You will then be engaging with a series of dilemmas and provocative statements to help facilitate discussion and push this topic further. By the end of the session, you can expect new perspectives to have been illuminated, new collaborations and connections to be fostered and to have been inspired! Come help shape this critical developing intersection of PIDs and genAI! PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/ASBX8V/ LUMC01 Knowledge Exchange PIDs4AI working group PUBLISH XRQQWA@@pretalx.surf.nl -XRQQWA From Identity to Integrity: How PIDs Strengthen Trust in Scholarly Communication en en 20261027T150000 20261027T154500 004500 From Identity to Integrity: How PIDs Strengthen Trust in Scholarly Communication This Birds‑of‑a‑Feather session explores how persistent identifiers (PIDs) can strengthen trust, accountability, and interoperability in scholarly communication by supporting more robust researcher identity verification; an area increasingly critical as fraudulent submissions and identity manipulation continue to rise. STM's Researcher Identity Verification Framework emphasises that trust involves both proof of individual identity and evidence of academic participation, making PIDs uniquely powerful in producing reliable, reusable, and machine‑actionable signals of authenticity. The discussion will focus on how ORCID and other person identifiers enriched with verified affiliations, contributions, and other trust markers can anchor scalable identity verification across publishers and platforms. Participants will also examine how institutional identity providers and institutional domain registries complement these person‑level PIDs, enabling more complete provenance chains that link researchers to their roles, outputs, and responsibilities. A key theme is how verified information can propagate downstream - through metadata deposits and persistent connections across ORCID, Crossref, and other infrastructures - building an ecosystem where trust signals accumulate and become interoperable. By connecting authors, reviewers, submissions, and datasets through PIDs, publishers can strengthen accountability while reducing opportunities for fraudulent behaviour. The session also recognises that persistence is not always the right default: legitimate scholarly activity often calls for anonymity or pseudonymity - including peer review and sensitive research contexts - and that a mature PID ecosystem must be able to accommodate these alongside verified, persistent identities rather than treating them as edge cases. The session invites the PID community to share challenges and opportunities, including global inclusivity, early‑career researcher considerations, and emerging ideas such as verifiable credentials. The goal is to identify concrete next steps for advancing PID‑enabled verification across the ecosystem. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/XRQQWA/ LUMC01 Hylke Koers PUBLISH QFUYTC@@pretalx.surf.nl -QFUYTC URN:NBNs as persistent identifiers: resolution services and user networks en en 20261027T113000 20261027T120000 003000 URN:NBNs as persistent identifiers: resolution services and user networks Uniform Resource Names (URN) were originally conceived in the 1990s and they continue to live on as a widely used identifier system. URNs are an Internet standard, which was last updated in 2017 (RFC 8141). Currently there are more than 80 URN namespaces, for a range of very different use cases. One of the most widely used URN namespaces is URN:NBN (NBN = National Bibliography Number). This namespace is currently in active use in thirteen European countries. Each of these countries has a national URN:NBN resolver service, which is usually run by the national library. The library also takes care of the administration of the national URN:NBN namespace. In many countries there are also sub-namespaces assigned for e.g. organisational use. Unlike some identifier systems, URNs have no registration agencies or service providers who would oversee the use of the PID on a global level. For many years, there was little collaboration between national URN:NBN service providers. This is one of the reasons for URN:NBNs having a fairly low global profile compared to other PID systems. For example, in the fields of scholarly communication and research data management, the global platforms and services are generally built around the use of DOIs, thanks to the strong support provided by the major DOI registration agencies, CrossRef and DataCite. Although URN:NBNs may play an important role on a national level, they have had little visibility in these services. In 2024, as part of the FAIRCORE4EOSC project, the National Library of Finland (NLF) produced a URN:NBN landscape report (Ulriika Vihervalli: Uniform Resource Name in National Libraries, https://urn.fi/URN:NBN:fi-fe2024052134041), which was based on interviews with other European organisations that provide URN:NBN resolution services. As a follow-up to the findings of the report, the organisations launched the European URN:NBN Network to facilitate discussion and collaboration on the development of shared practices and technical solutions. Finland is one of the countries with a long history of using URN:NBNs as persistent identifiers. The National Library of Finland has been running a national URN resolver at urn.fi since 2007. The resolver currently knows about 3.5 million Finnish URNs. The total number of resolved URNs at urn.fi is currently in the range of 100 million per year. Although a great deal of this traffic is generated by bots, it is estimated that a substantial portion of these events result from the actions of human users. All Finnish institutional repositories assign URNs to their items. As the identifiers are free of charge, they can be assigned to all items without concern for the costs. The national URN resolver harvests URN-URL pairs using the OAI-PMH interface of each repository, which means that URNs included in the metadata of an item start to work as persistent addresses automatically. The URN:ISBN namespace is used for the items which have an ISBN and URN:NBN for the items which do not have one. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/QFUYTC/ LUMC02 Jyrki Ilva PUBLISH KF9RKX@@pretalx.surf.nl -KF9RKX RSpace: the first comprehensively pidified research tool en en 20261027T120000 20261027T123000 003000 RSpace: the first comprehensively pidified research tool Originally, PIDS – DOIs, RORs and ORDIDS – were primarily conceived of as performing a registration function, and designed around the publication workflow. Over the past several years, the advent of IGSN IDs, pidinsts and RAiDs has opened up a second area where PIDS can play a useful role, namely in experimental workflows that take place during the active phase of research. An early recognition of this second function was the creation in 2022 of the RDA Interest Group: Working with PIDS in Tools. You will be stimulated to reflect on the implications of the coming uptake of IGSN IDs, pidinsts and RAiDs into the PID universe, and use of PIDS in relation to experimental workflows and documentation. Today, understanding of the utility of incorporating PIDS into active research workflows is entering the mainstream. For example, this distinction between the registration function and the experimental documentation function is central to the vibrant debate about what kind of PID is most appropriate for ‘facilities’, and in the US RAiD pilot, a number of research tools are among those taking part in the pilot. You will be introduced to current topics of discussion and debate around which kind of PIDS are most appropriate in different contexts and for different purposes. This presentation will overview how comprehensive use of pids helps enable RSpace to orchestrate FAIR workflows across research infrastructures. RSpace is used to collect and manage data, and document experiments, in the active research phase of the research lifecycle. It is integrated with more than 20 other research tools used in the planning, active and sharing/archiving phases of the research lifecycle. Early on in its development, RSpace incorporated support for traditional PIDS – ORCIDS and RORS – enabling association of research outputs with individuals and their organisations. Over the past two years support has been added for IGSN IDs, pidinsts and RAiDs. IGSN IDs can be associated with sample data in the RSpace Inventory module, pidinsts can be associated with instruments that are used in experiments documented in RSpace, and RAiDs can be associated with projects in RSpace. Combined with individual researcher attribution through ORCIDS and organizational attribution through RORS, this means that persistent identification of samples, instruments and projects for the first time can be linked with individual and organisational attribution in the context of active experimental work. You will learn about how research tools can incorporate PIDS and the benefits this brings in terms of enhanced FAIR workflows. All development of RSpace is workflow, rather than RSpace, -specific. Our guiding principle is Vertical Interoperability – enabling streamlined passage of both data and metadata throughout the research lifecycle. To that end we are working with developers of other categories of tools, in particular DMPs and repositories, to ensure that association of the PIDS with the research outputs is consistently maintained as data passes between tools. You will learn about the important role PIDS can play in enabling interoperability between research tools. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/KF9RKX/ LUMC02 Rory Macneil PUBLISH TXF7MS@@pretalx.surf.nl -TXF7MS Migrating to persistent ARK identifiers at the Royal Library of Belgium (KBR) en en 20261027T123000 20261027T130000 003000 Migrating to persistent ARK identifiers at the Royal Library of Belgium (KBR) What practical steps do I need to consider to get persistent identification for cultural heritage collections? Broken or unstable identifiers threaten connections between collections, users and external references. PIDs can help keep knowledge connected, but introducing them in an established environment presents technical, operational, and governance challenges. It involves understanding how identifiers are already used, making informed infrastructure choices, and addressing the impact on both internal workflows and external references. This session follows that progression, moving from an initial assessment of the identifier landscape within the Royal Library of Belgium (KBR) to implementation decisions, migration challenges, and finally the governance needed to support persistence over time. While the presentation focuses on practical experience, it also highlights key considerations that may help you reflect on your own approach. To address these challenges, you first need a clear understanding of the identifiers already present in your systems. In a national library context, these include bibliographic and authority identifiers, acquisition records, call numbers, and external standards such as ISBN or ISSN. Not all are intended to persist or to be publicly resolvable. Mapping this landscape helps clarify their roles, how they circulate, and which ones are suitable candidates for persistence. Once this landscape is mapped, the focus shifts to how persistence can be implemented in a sustainable way. A key consideration is whether to rely on an external PID service or to integrate PID management into existing cataloguing infrastructure. Each option comes with trade-offs in terms of maintenance, cost, dependency, and control. These choices only become meaningful when they are integrated into existing day-to-day workflows. Identifiers are not only part of digital systems but also appear in physical collections and routine practices, such as labelling or annotation. Aligning technical implementation with these practices is necessary to ensure consistent use. At the same time, existing references cannot be ignored, as many identifiers are already used beyond the institution. External systems, publications, or databases may rely on identifiers that were not designed to persist. Introducing PIDs therefore requires a migration approach that limits disruption and reduces the risk of broken links, helping ensure that knowledge already referenced externally stays connected to your collections. Managing this transition also raises questions about how changes in records are communicated over time. Situations such as merges, deletions, or updates require clear signalling to both human users and machine clients, supported by appropriate redirection and metadata practices. These technical and operational decisions ultimately depend on clear governance and long-term commitment. Defining an overall policy supported by careful documentation of workflows and decisions, helps ensure that persistence is not only implemented but maintained over time. Building understanding and engagement among staff is equally important, as PIDs are only effective if embedded in everyday practices. Through this presentation, you may gain ideas from the steps taken, lessons learned, and challenges encountered at KBR, which could inform your own approach to implementing persistent identifiers. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/TXF7MS/ LUMC02 Sven Lieber PUBLISH GRERM8@@pretalx.surf.nl -GRERM8 What Deserves a PID ? Scalability, Scope and Granularity in Real-World PID Use Cases en en 20261027T141500 20261027T150000 004500 What Deserves a PID ? Scalability, Scope and Granularity in Real-World PID Use Cases Decisions about PID granularity are rarely one-size-fits-all. Different communities, infrastructures, and use cases require different approaches to identifying and referencing data. In some contexts, assigning PIDs at the collection or dataset level is sufficient to support discovery and citation. In others, especially where large volumes of heterogeneous data are processed automatically, more fine-grained identifiers at the file or sub-file level may be necessary. At the same time, increasing the number of PIDs introduces challenges: technical overhead, management complexity, and questions about long-term sustainability. Conversely, insufficient granularity may limit reproducibility, traceability, and machine actionability. Striking the right balance is therefore a key challenge for scalable PID systems. This session aims to provide an open space for participants to exchange experiences from their own domains, including data infrastructures, research projects, and operational workflows. We explicitly invite contributions that highlight both practical solutions and ongoing challenges. In this session, we will discuss the following - and your - questions - Which - conceptual and technical - approaches you follow to aggregate and assign datasets and files with PIDs in your disciplines ? - What level of data granularity in your domain currently receives PIDs—and why? - Which use cases (e.g. citation, discovery, reuse, automated workflows) require more or less granular identifiers? - Where do you see clear benefits (or drawbacks) of more fine-grained identifiers? - What are the practical or technical limits to scaling PID systems in your context? - How do different use cases (e.g. citation, discovery, automated processing) influence PID assignment? - How do you ensure that both humans and machines can navigate to the “right” level of data? - How do you balance “too many” versus “too few” PIDs? The goal of this BoF is not to reach a single solution, but to surface common patterns, trade-offs, and open questions that can inform future developments in PID practices and infrastructure. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/GRERM8/ LUMC02 Karsten Peters-von Gehlen Heinrich Widmann PUBLISH 3CGJYT@@pretalx.surf.nl -3CGJYT Exploring PID applicability to HPC and AI Workflows: enabling quick turnaround from data creation to reuse en en 20261027T150000 20261027T154500 004500 Exploring PID applicability to HPC and AI Workflows: enabling quick turnaround from data creation to reuse Are you envisioning a data ecosystem in which data stemming from HPC applications are practically immediately findable, traceable, and reusable via their PID without having to wait for post-processing steps? International HPC centers, sometimes connected to AI infrastructures, are the go-to tools when it comes to producing cutting-edge scientific datasets, but PIDs are often not part of the workflows employed to run these HPC applications. As a result, you have probably found that data remain difficult to search, find and access if you are not part of the team having produced the data. In this session, you will explore what it would take to assign and register PIDs directly during data production, for example at simulation runtime, to enable global findability - an aspect especially relevant for existing and upcoming AI applications and workflows. An important aspect of this is how such data could be made available in storage systems close to where they are created and accessed across federated environments, including interoperability with existing data spaces like EOSC, DestinE, or institutional infrastructures. We will also consider cases where data are not openly available, where PIDs can still support discovery, access information, and FAIR reuse. By joining us in this BoF, you will: - discuss technical approaches to integrate PID assignment into HPC workflows for rapid findability of data assets - better understand which minimal metadata are needed to support FAIR use (e.g. provenance, access, authorship, licensing), especially for AI applications - exchange experiences and challenges with others working on similar problems across infrastructures The session is designed as an open discussion. You are invited to share your own experiences, ongoing work and open questions and to explore together how PID-enabled workflows could support large-scale and distributed research - both classical and AI-enabled. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/3CGJYT/ LUMC02 Karsten Peters-von Gehlen PUBLISH UAQ83M@@pretalx.surf.nl -UAQ83M Keeping Research Connected: RAiD Integration Across the Lifecycle from Lab to Repository en en 20261027T113000 20261027T120000 003000 Keeping Research Connected: RAiD Integration Across the Lifecycle from Lab to Repository Do you know where your research data came from—really? Not just the DOI, but the full context: who ran the experiments, which protocols were followed, how the funding connected to the work? For most published datasets, that context is either buried in free-text descriptions or simply lost. RAiD—the Research Activity Identifier—is designed to fix this, by giving research activities themselves a place in a persistent, resolvable identifier. But what does RAiD integration actually look like in practice? This session gives you a ground-level view from two US RAiD pilot participants who have approached the challenge from two directions. From the lab notebook side, RSpace introduces RAiDs into active research workflows. When a researcher is documenting experiments, managing samples, and collaborating with their team, RSpace connects these activities to an existing RAiD. When datasets are published—whether to Dataverse, Zenodo, or another repository—RSpace automates reporting back to the RAiD record, keeping the metadata loop closed without requiring researchers to do it manually. From the institutional repository side, the University of Texas at Austin's Texas Data Repository has been exploring how incoming RAiD references can be incorporated into Dataverse metadata and DOI records. This includes strategies for bi-directional linking: ensuring datasets reference the RAiDs they belong to, and that those RAiD records are updated to reflect new deposits. Together, these two perspectives show how a connected PID graph can be facilitated in practice. You'll leave this session with: - Inspiration for how RAiD can fit into your existing PID ecosystem - Practical integration patterns for linking active research platforms and institutional repositories through RAiD - Realistic expectations about researcher burden, implementation complexity, and what you can achieve at different stages of RAiD adoption Whether you're managing an institutional repository, building research tooling, or advising on research data infrastructure, you'll come away with concrete ideas for where RAiD can add value in your context—and what the first steps toward integration might look like. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/UAQ83M/ LUMC03 Tilo Mathes PUBLISH QNMFWR@@pretalx.surf.nl -QNMFWR Swimming in the Sea of Software Identifiers en en 20261027T120000 20261027T123000 003000 Swimming in the Sea of Software Identifiers Have you ever tried to identify software? If so, you'll have realized that it's not easy to do, for a few reasons. First, you have to decide what you want to identify, from the concept of a software project (e.g., SciPy), to a version, to a file, to a set of lines. Software has complex granularity in both space and time. Second, you have to decide what kind of identifier you want to use, from an external identifier such as a repository URL or a package manager URL or a general identifier (e.g., DOI) or a specialized identifier (e.g., RRID, ASCL ID, swMATH ID) to an intrinsic identifier (e.g., SWHID). You may feel that you are swimming or drowning in a sea of different types of identifiers. Your aim (your case and how you engage with software) also matters: * As a software developer, you may want credit when people use your software, so you could try to make it easy to cite and then ask people to cite it when they write papers about it. * As a publisher, you may also want software to be cited, or you may want software to be described in a methods section without a formal citation, but even so, you probably want to encourage reproducibility, so persistent identification is still important but difficult for non-experts to support. * As a researcher of software, you will have to deal with the fact that most software is accessible in repositories and package managers, both of which have identifiers, but these are generally not persistent in an archival sense, as well as the fact that some research software is commercial, and mainly identified by product name and version. * As a funder, you probably want to track the software that you've supported, including all its versions, and you also may be interested in what other software this software enables. Extending the metaphor, the sea contains people swimming with a variety of strokes, swimming in different directions, and it's vast and complex. Some of the challenges associated with software identifiers also relate to challenges around software metadata, and you will have to consider where you can find the metadata associated with the software, which may include one or more identifiers. This metadata can be stored with the software itself, or in a scholarly repository or registry, associated with but separate from the software. The metadata is key to understanding the software and finding it. Depending on your role, you may want different types of metadata, describing a different facet of the software. This further complexifies the software ocean ecosystem and muddies the waters. Overall, you will see that there are a large number of challenges related to software identifiers, with some possible solutions. After this session, you should have a good idea of what the challenges are, and how you can contribute to addressing them. Maybe we can make the dangerous-looking sea into a safe and comfortable pool. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/QNMFWR/ LUMC03 Daniel S. Katz PUBLISH WRELXB@@pretalx.surf.nl -WRELXB A Benchmarking Framework for the Australian National Persistent Identifier (PID) Strategy en en 20261027T123000 20261027T130000 003000 A Benchmarking Framework for the Australian National Persistent Identifier (PID) Strategy The Australian National Persistent Identifier (PID) Strategy was established to accelerate research quality, efficiency, and impact through the universal use of connected PIDs. To support the implementation of this vision, the Australian Research Data Commons (ARDC) commissioned Digital Science to create a comprehensive benchmarking toolkit. The resulting framework aligns with the strategy's five core objectives: enhancing the FAIRness of research inputs, increasing the discoverability of outputs, improving reproducibility while reducing administrative burden, enabling robust impact assessment, and supporting national capability mapping. This presentation will conver Australia's first national assessment using this toolkit, revealing a mixed score card for the research ecosystem. *Notable Successes* * Strong ORCID Adoption: It was found that Australia ranks highly in global ORCID adoption * Funded Researcher Engagement: The ORCID adoption and completion rates for researchers funded by the ARC and NHMRC are among the best in the world. * Thesis Practices: Several Australian institutions show strong global leadership in thesis deposits utilizing DOIs. *Critical Gaps in the Ecosystem* * Data Citation Lag: Despite high general engagement, Australian researchers trail behind their European peers in data citation practices. * Non-Traditional Outputs: Recording ORCID identifiers against non-traditional research outputs (NTROs) and datasets remains the exception rather than the norm. * Disconnected Samples: While over 5.8 million IGSN samples have been registered in Australian repositories, they remain almost completely disconnected from the broader persistent identifier graph. *Strategic Recommendations & Path Forward* To address these gaps, the report outlines 23 targeted recommendations. During the presentation, we will highlight key recommended interventions, including: Mandating ORCIDs: Moving toward mandatory, authenticated ORCIDs on grants to facilitate the downstream creation of Research Activity Identifiers (RAIDs). Elevating Institutions as Publishers: Treating institutions as major publishers of NTROs, requiring them to adopt publisher-level PID standards for theses, datasets, and grey literature. Closing Connectivity Gaps: Triggering the creation of RAIDs immediately upon grant funding and establishing clear minimum standards to link samples to the broader PID graph. Beyond the findings, this presentation introduces the open-source benchmarking toolkit itself. Consisting of both in-depth analysis and runnable code, the toolkit provides a robust mechanism for tracking collective progress. We will reflect on how the community is currently developing these recommendations and demonstrate how other nations, funders, and consortia can adapt this open framework to measure and advance their own PID implementation strategies PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/WRELXB/ LUMC03 Simon Porter PUBLISH HKRKHQ@@pretalx.surf.nl -HKRKHQ Discover the new ISSN Portal! Meet a new Identifier! en en 20261027T141500 20261027T150000 004500 Discover the new ISSN Portal! Meet a new Identifier! In March 2026, the ISSN International Centre launched a new ISSN Portal designed to improve access to the ISSN Register and provide enhanced services for the global serials community. The portal introduces improved search capabilities, clearer navigation, and indexes that allow users to explore relationships between serial resources and their identifiers more easily. Libraries, publishers, aggregators, and metadata specialists can retrieve authoritative ISSN data, visualize links between related resources, and integrate identifiers into their workflows. By improving the discoverability and usability of ISSN metadata, the portal reinforces the role of ISSN within the infrastructure supporting scholarly communication and the broader persistent identifier (PID) ecosystem. At the same time, the ISSN International Centre is implementing a new identifier introduced in the revised ISO 3297:2022 standard: ISSN-H (History ISSN). Serial publications frequently undergo major title changes during their lifespan. According to ISSN cataloguing rules, each major change in title requires the assignment of a new ISSN and a new key title, as each title represents a distinct continuing resource in the ISSN Register. Consequently, a single serial publication may accumulate several ISSNs over time, each corresponding to a different stage in its bibliographic history. The ISO 3297 revision expanded the concept of cluster ISSNs, identifiers designed to group related ISSN records together. ISSN-H is one of these cluster identifiers. Its purpose is to collocate the various titles that are related successively over time, enabling all ISSNs associated with a serial’s historical development to be grouped under a single identifier representing the publication’s lineage. The construction of ISSN-H clusters relies on the bibliographic relationships recorded in the ISSN Register. ISSN records contain linking fields that describe how continuing resources relate to one another across their publication history. When a serial changes title, cataloguers record relationships between earlier and later titles using linking entries such as former title (MARC 780) and successor title (MARC 785). Other relationships—such as connections between print and electronic editions—are recorded using MARC field 776. Together, these links form a network of relationships reflecting the evolution of a publication over time. The ISSN International Centre calculates the ISSN-H identifier by analysing these linking relationships in the ISSN Register. All titles belonging to the same historical chain can then be grouped within a single ISSN-H cluster. The ISSN-H identifier itself remains distinct from the individual ISSNs assigned to each title record. ISSN-H complements the existing ISSN-L (Linking ISSN), another cluster identifier used to collocate different medium versions of the same continuing resource, such as print and online editions. While ISSN-L connects manifestations of a single title across formats, ISSN-H focuses on the historical continuity of a serial across title changes. For libraries, ISSN-H simplifies the identification and tracking of serial publications that evolve over time. For publishers and metadata providers, it provides a clearer way to represent title histories and relationships between serial resources. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/HKRKHQ/ LUMC03 Gaelle BEQUET PUBLISH 7PWT8A@@pretalx.surf.nl -7PWT8A Your Data Starts at the Instrument: Why DAQs Need PIDs Too en en 20261027T150000 20261027T154500 004500 Your Data Starts at the Instrument: Why DAQs Need PIDs Too Research data has a birth certificate problem. We track who analysed it, who published it, which grant funded it, but the moment the measurement was made, on which instrument, in which configuration, running which firmware, is almost never recorded in a way that travels with the data. The data acquisition system is where knowledge begins, and it is the layer least connected to our PID infrastructure. What would it mean for a DAQ to be truly PID-ready? Instruments are not passive objects. They make decisions: gain settings, sampling rates, calibration states, software versions. Two datasets that look identical on the surface may be incomparable because the instrument that generated them was in a different state. Without a persistent identifier anchored to a rich instrument record, one that captures not just identity but configuration, this context is silently lost. The barriers are not just technical, they are structural. Especially in the life sciences and biomedical domain, most instruments are vendor-locked. Their control software does not expose the metadata needed for a FAIR instrument record. The firmware version is not machine-readable. The calibration log lives in a PDF. And critically, there is no open software layer sitting between the instrument and the data that could capture and stamp this information automatically. PyLabRobot is an open-source Python framework for lab automation that addresses exactly this gap. By building open, hardware-agnostic drivers for liquid handlers, plate readers, centrifuges, and other lab instruments, PyLabRobot creates the software layer where instrument identity, configuration, and state can be captured programmatically and stamped onto the data the instrument produces. It is a concrete example of what it looks like when the DAQ layer is designed with traceability in mind from the start, rather than retrofitted afterward. Through the PyLabRobot project, we have been developing the PLR Readiness Level, a three-axis maturity scale that scores any instrument on software connectivity, instrument transparency including PID integration, and hardware openness. It is one attempt to make the problem legible: to move from "we know this instrument exists somewhere" to "every dataset knows exactly which instrument made it, and that instrument is findable and fully described." But this session is not about PyLabRobot or any single project. It is about a shared blind spot that affects everyone building PID infrastructure, and a conversation that the instrumentation world and the PID world have mostly not had together yet. You will: Map the DAQ layer in your own domain: what does the instrument-to-data handoff actually look like? Identify the specific barriers that prevent instruments in your field from being PID-connected Discuss what community standards, vendor engagement, or policy levers could actually move the needle Whether you work in repositories, publishing, research infrastructure, or active data collection, the DAQ layer affects the quality and connectedness of everything downstream. This is a chance to start closing that gap, together. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/7PWT8A/ LUMC03 Vincent Boer, de PUBLISH 8E3ALX@@pretalx.surf.nl -8E3ALX Grey Literature: The Missing Link in Scholarly Infrastructure en en 20261027T113000 20261027T120000 003000 Grey Literature: The Missing Link in Scholarly Infrastructure Your PID infrastructure almost certainly leaves grey literature behind. This matters, and the consequences are bigger than you might think — because you cannot keep knowledge connected if half the knowledge ecosystem has no persistent identifiers. Your institution is probably producing more grey literature than you realise: reports, working papers, case studies, technical papers, blogs, podcasts, and videos . . . the list is long. What's certain is that grey literature — government reports, policy documents, intergovernmental assessments, technical publications — underpins some of the world's most consequential decisions, yet remains largely invisible to PID systems. An analysis of citations across the first six chapters of the last IPCC Climate Assessment Report (AR6) shows that fewer than 5% of citations reference grey literature, and 15% of those grey literature links are already broken. The IPCC has confirmed that this underrepresentation wasn't deliberate: contributors simply found it easier to locate, manage, and cite content that carries a DOI. When infrastructure favours journal articles, knowledge graphs follow — and the evidence base for global policy quietly narrows. There is a second, equally pressing problem. Universities and research institutions are under growing pressure to demonstrate the real-world impact of their research — not just within the academy, but in government, corporate, and third-sector settings. Journal-to-journal citation tracking is well-established, but it only tells you what other researchers thought of your work. To understand whether your research is shaping policy, informing regulation, or influencing practice, you need to track journal-to-grey-literature citations. And to do that reliably and at scale, you need grey literature PIDs. Without them, the connection between academic knowledge and the world it influences remains invisible. In this session you will discover how Content Object Identifiers (COIs), PIDs built specifically for grey literature and deployed across two very large grey literature platforms, Policy Commons and Applied Science Commons, are tackling this gap at scale. You will leave with: A clear understanding of why grey literature falls through the cracks of existing PID infrastructure, and why this is both a bibliodiversity problem and a research impact problem worth solving. A concrete example of how purpose-built PIDs can be assigned to millions of grey literature documents without complex workflows or high costs. Practical insight into how better PID coverage of grey literature strengthens citation integrity, unlocks real-world impact measurement, and keeps the full knowledge ecosystem — not just the journal literature — connected and findable for the long term. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/8E3ALX/ LUMC04 Toby Green PUBLISH FAYDMF@@pretalx.surf.nl -FAYDMF Supporting the research data management workflow from start to finish through RAiD. en en 20261027T120000 20261027T123000 003000 Supporting the research data management workflow from start to finish through RAiD. The Dutch National pilot within the OSTrails project explores how machine actionable data management plans (maDMPs) can support researchers and research institutions in keeping knowledge connected. The work in the pilot is covering two broad aspects: (1) the affordances of machine actionability in research data management and (2) the contextualisation of digital objects within the research ecosystem through linking various PIDs. In this short presentation we will focus on three of the six deliverables in the pilot: 1. PID-ifying DMP templates 2. Interoperating machine actionable DMPs via RAiD 3. Extending scientific knowledge graph with DMPs DMPs play a multifaceted role in the research process, one of them being a place where project information is captured during the planning phase of research. Through the integration of RAiD in this early phase we ensure that PIDs are captured early on, so that an open and up-to-date record of the project is findable and accessible. Candidate PIDs in this workflow are GrantIDs for funding, ORCIDs for project members, but also DOIs of datasets that are being reused in the project. In addition, the DMP itself can be included in the RAiD record so that it remains discoverable throughout and after the project. This approach is built on the logic that research information (including PIDs) should flow naturally as a by-product of research, not as an administrative afterthought. It draws inspiration from the concept behind the RAiD identifier service, where research context is enriched through linking different PIDs dynamically over time rather than recorded only at the end of a project, or when reporting is required. In this short presentation we demonstrate this workflow using a prototype and discuss the challenges that we foresee for institutions wanting to implement maDMPs and RAiD. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/FAYDMF/ LUMC04 Eileen Waegemaekers PUBLISH KLLAVR@@pretalx.surf.nl -KLLAVR France’s PID Strategy: Focus on ORCID, RNeST, and exploring PIDs for Research Instruments en en 20261027T123000 20261027T130000 003000 France’s PID Strategy: Focus on ORCID, RNeST, and exploring PIDs for Research Instruments In this presentation, you will explore: • Why ORCID and RNeST are central to France’s strategy: Learn how these unique identifiers for researchers and institutions improve data reliability, automate system interoperability, and facilitate the implementation of FAIR principles. • France’s initiative to map RNeST to ROR: Discover how France is enhancing the international visibility of its research structures by aligning RNeST with the Research Organization Registry (ROR), fostering global recognition and collaboration. • Exploring the need for PIDs for research instruments: France is currently conducting a study to assess the requirements and potential benefits of implementing PIDs for research instruments. Learn about the objectives of this study, the challenges it aims to address, and how it could shape future PID adoption for instruments in France. • How these initiatives align with international best practices: Gain insights into interoperability with European (EOSC) and global ecosystems, and how France is contributing to harmonizing PID usage while preserving institutional autonomy. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/KLLAVR/ LUMC04 Stoll Veronique Joel Sudre Chloée Fabre PUBLISH KJ8Y3P@@pretalx.surf.nl -KJ8Y3P What makes PIDs endure - Unpacking persistence en en 20261027T141500 20261027T150000 004500 What makes PIDs endure - Unpacking persistence Persistent Identifiers (PIDs) provide for unambiguous identification of scholarly entities, such as researchers, journal articles, datasets, and organisations. By providing resilient references to such entities, they play a crucial role in research infrastructure by enabling unique identification over time which helps make research and scholarly outputs more findable, accessible, interoperable, and reusable. Persistent identifiers play a vital role in enhancing the discoverability, credibility and quality assurance of research outcomes and their attribution and are essential to modern research and open science. What makes a persistent identifier resistant to change? Is it a feature of the identifier itself, is it the technology or are there other elements that make an identifier persistent? Is it possible to create identifiers for scholarly entities that currently lack them, and ensure those identifiers can be made persistent. This is a Birds of Feather session that will interest attendees who want to find out what mechanism enables persistence in PIDs. However, it is the questions asked that truly matters and so the session will start with a brief introduction and move on to open discussion. Come along prepared to exchange knowledge and contribute to the discussion and leave with a fresh perspective on the persistence of PIDs. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/KJ8Y3P/ LUMC04 Melroy Almeida PUBLISH KMDU7W@@pretalx.surf.nl -KMDU7W Take your best (snap)shot - lessons from the ORION initiative en en 20261027T150000 20261027T154500 004500 Take your best (snap)shot - lessons from the ORION initiative The benefits of open research information, with PIDs at the center, are only just beginning to be realised. This operates from the small scale, where data access is easier than it has ever been, to very large scale analysis of whole data systems. At the same time, data providers are under assault from a barrage of scrapers sometimes using APIs, sometimes not. For providers, data snapshots can provide a way of shifting large scale usage to more appropriate systems. Both providers and users can benefit from well designed and easily accessible snapshots of whole datasets. Shared infrastructure, where open datasets are hosted and made publicly available on a platform anyone can access for their own analyses, has the potential of opening up capacity for large-scale data analysis. The ORION-DBs initiative is currently facilitating this through Google Big Query, where multiple open datasets are made available in a collaborative effort of various groups (including the MultiObs team - continuing the work of the InSySPo team at Campinas, SUB Göttingen, Sesame Open Science and CWTS amongst others). Google Big Query has emerged as a powerful tool. In particular it provides a capacity for combining and working on these large datasets at scale. It allows for providers to share data without requiring them to shoulder the burden of compute provision and costs. It allows users to run queries (at their own expense) without the need for access to specific hard-or software. However, there are legitimate concerns around depending on US ‘big tech’ for shared community systems. Alternatives are emerging but do not yet deliver the collective functionality that Google Big Query offers. Providing access to open research information in shared infrastructures, whether through Big Query or future alternatives, requires access to the datasources. Many organizations provide access to their data though APIs and full data snapshots in various formats and with varying frequency. Providing a full data snapshot is also a requirement of the Principles of Open Scholarly Infrastructures which many of these organizations are committed to. Data snapshots are therefore an opportunity to provide greater certainty about the future of datasources, reducing costs to providers, and enabling new applications. We argue that data snapshots should be a first class way of providing data, and for the provision of these to be accompanied by good documentation, including versioning, licensing and data provenance. Doing this efficiently will require discussion of how best to provide snapshots, including file formats, regularity, documentation and more. The potential benefits will be achieved through making the provision of documented, reliable, and trustworthy data snapshots, optimised for usability and cost of production and transfer. In this session, we will discuss amongst providers and users of open datasets how the design and delivery of data snapshots can be optimized, and help the development of shared infrastructure for opening up use of these datasets. We will do this by surfacing real-world issues in working with these datasets and highlighting good examples of dataset provision and documentation across the ecosystem. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/KMDU7W/ LUMC04 Bianca Kramer Cameron Neylon PUBLISH QPL93Q@@pretalx.surf.nl -QPL93Q The Three PIDs Problem: Integrating Persistent Identifiers into an Institutional Repository en en 20261027T113000 20261027T120000 003000 The Three PIDs Problem: Integrating Persistent Identifiers into an Institutional Repository Are you working at a learning or research institution and wondering how to connect your research systems to persistent identifiers? Perhaps your research colleagues are constantly asking for permanent links to their work or are struggling to keep track of related institutions or of their research group's publications. Requests for unique identifiers can quickly become overwhelming, leaving you to wondering where to start and whether the effort is truly worth it. In 2025, the Library of Université Laval (UL) was the first in Canada to integrate three PIDs (ROR IDs, ORCID IDs, and DOIs) into its institutional repository via DSpace integration. The implementation was done in three parts, each bringing its own set of challenges due to language differences, a unique approach to researchers' profiles, and an obsession with entering the most complete information possible. At each step, we shared our experience with the PIDs community to bring improvements that will have a lasting impact. The integrations were a success, and the results were immediate. If you are facing similar questions about whether to invest time and resources into these connections, come join us. We will share our real-world story—not just the successes, but the messy, difficult parts too. You will walk away with a clear understanding of the tangible benefits these tools bring to researchers and administrators alike, and perhaps a roadmap to help you navigate your own path forward. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/QPL93Q/ LUMC05 Charlie Lessard-Berger PUBLISH MUXQ3T@@pretalx.surf.nl -MUXQ3T Three Identifiers, One CRIS: Making PIDs Do the Heavy Lifting in DSpace en en 20261027T120000 20261027T123000 003000 Three Identifiers, One CRIS: Making PIDs Do the Heavy Lifting in DSpace Do you run a DSpace (or other type of) repository and feel that your ORCID, ROR, and DOI integrations are ticking compliance boxes but not pulling their real weight? Or maybe you've hit a wall - adoption is patchy, data quality hasn't improved, and a connected research information system still feels out of reach? You're not alone. Built on production experience, this session will show you what PIDs can actually do once you stop treating them as metadata fields and start treating them as infrastructure. This session will revolve around Dspace examples - most widely deployed open-source repository platform - but the gap is rarely the software. It's knowing how to wire the pieces together. You'll discover how the same three identifiers your repository already supports can do work you probably didn't expect. DOIs become a live pipeline: let Crossref and OpenAlex harvest titles, abstracts, funding information, and citation counts - without a cataloguer touching a form. ORCID becomes the foundation for full researcher profile entities - persistent, machine-readable, connected to the researcher's global record. ROR IDs bring order to affiliation chaos: variant spellings, legacy names, merged faculties - normalised and queryable. You'll also see how PID-based matching against Scopus and Web of Science pulls in external data without manual intervention. But you'll hear where adoption breaks down - and why the most persistent problem isn't technical. It's the lack of awareness that well-implemented PIDs improve data quality not just locally but across the global scholarly record. Every ORCID iD linked, every ROR assigned, every DOI resolved - small acts with outsized effects, invisible when they work. The central argument: PIDs turn a plain publication repository into a Current Research Information System - not through a platform migration or new procurement, but through the identifiers you already have, deployed with intention. In 2018-2020, Poland's Ministry of Science and Higher Education made ORCID compulsory for all researchers and mandated its integration into the national repository. The session speaker was the project manager of that repository. Enough time has passed to assess what changed: where effects were lasting, where early wins faded, and what data quality looks like years later - a longitudinal perspective rare in PID case studies. After this session you will: Know five concrete, production-tested ways to make ORCID, ROR, and DOI work harder in DSpace - including automated harvesting from OpenAlex and Crossref, entity creation for researchers and organisational units, and cross-system PID matching with Scopus and WoS. Understand why the absence of an institutional PID policy is the single biggest blocker to realising that value - and what a minimal viable policy looks like. See what happens when national policy gets behind PIDs - with a first-hand, longitudinal account of the Polish experience and what policymakers elsewhere can take from it. This session is for repository managers, research information officers, policy leads and for anyone who suspects their PIDs could be working much harder than they currently are. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/MUXQ3T/ LUMC05 Małgorzata Paszkowska PUBLISH 7R7RLE@@pretalx.surf.nl -7R7RLE Three years of National PID Centre in Czechia: Some progress, diverse hurdles, and lessons learned en en 20261027T123000 20261027T130000 003000 Three years of National PID Centre in Czechia: Some progress, diverse hurdles, and lessons learned The presentation will familiarize you with the experience of the Czech National PID Centre, which started operating as part of the National Library of Technology on January 1, 2023. Developing the Czech national PID support services could not be imagined without access to and building on experiences from others all over the world. So this contribution, in turn, aims to help you learn from the experiences in the Czech Republic, including hard-learned lessons about what worked and what did not, and what should have been done differently, so that you can avoid the sometimes challenging obstacles encountered in this case. You will learn how the Czech PID services mainly focus on the running of the ORCID and DOI consortia (collective forms of accessing PID services), national ROR support, but also promoting and supporting the use of other PIDs, endeavor, sometimes with success, sometimes with difficulties in promoting awareness and use of PIDs in the Czech research environment. Some of the specific challenges that you will get insight into include: * Overcoming reservations and hesitation of institutions to start or expand using PIDs and to integrate them into their workflows, even when provided with financial support from the National PID Centre. * Putting the matter of PIDs and their support on the agenda of research institutions, as well as government bodies, funders, and other relevant stakeholders involved in research activities, and raising awareness of the value and best practices around PIDs, even when their use is not always enforceable or seen as a priority. * Determining priorities and targeting of support of PID services using external cost-benefit analysis and a national survey to map the existing situation and plan future milestones that are realistic and bring a return on the invested resources. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/7R7RLE/ LUMC05 Jakub Šindelář Hana Heringová PUBLISH 7JBSAE@@pretalx.surf.nl -7JBSAE Growing the PID Network: Policy, Partnerships, and Emerging Communities en en 20261027T141500 20261027T150000 004500 Growing the PID Network: Policy, Partnerships, and Emerging Communities What are the catalysts for membership growth in PID communities? Are you engaging with a new or emerging group of stakeholders that are still learning about PIDs? Speakers from Canada and the United States will highlight how Persistent Identifier related policies, such as national government policies on research integrity and security, organizational Open Access initiative, and other strategic efforts, have provided opportunities to expand PID community engagement from early adopters to new stakeholders learning about PIDs. For example, research administrators managing grants and awards at universities and colleges are increasingly required to understand the use of PIDs in the research ecosystem to assist researchers in fulfilling funding requirements, or higher education administrators who are learning about the importance of PIDs to make their researchers and research much more visible and accessible. These new and emerging PID stakeholders want to know how PIDs impact their day-to-day work, as well as how PIDs best serve their researchers and their entire organization. We will discuss our approaches and ideas on how we have worked with new and emerging stakeholders in our community - but then we want to hear from you. After a brief presentation, you will be randomly grouped together to discuss policies and/or initiatives that are affecting your PID communities, identify opportunities to increase PID awareness and growth in PID adoption, and share ideas on engaging new stakeholders. We will provide questions to guide the group discussion. Then, all participants will reconvene to share ideas, reflections, and insights. You will learn about the different policies and initiatives positively affecting PID communities worldwide. You will also gain insight into how to both promote PIDs and engage with new and emerging stakeholders learning about PIDs for the first time. This session will be of interest to PID community leads, research infrastructure providers, and librarians and other research organization staff learning about how to engage with new stakeholders. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/7JBSAE/ LUMC05 Nikolas Lamarre John Aspler Paolo P. Gujilde PUBLISH KNXYFN@@pretalx.surf.nl -KNXYFN Crossref or DataCite: How do you choose a registration agency for your DOIs? en en 20261027T150000 20261027T154500 004500 Crossref or DataCite: How do you choose a registration agency for your DOIs? While there are 12 DOI registration agencies listed on the DOI Foundation’s website, only two registrations are available for general-purpose scholarly use across the globe: DataCite and Crossref. DataCite and Crossref have roots serving different communities who tend to register DOIs for different kinds of content, but have expanded their scope (as expressed by their membership eligibility criteria and metadata schemas) to a point where either registration agency can meet the needs of almost any organization that wants to register DOIs. So, how should an organization think about whether to join DataCite or Crossref? As an illustrative case, this question recently came up in the development of Canada’s National PID Strategy. As funders start to explore the practicalities of registering DOIs for their grants, they asked national PID staff which registration agency they should use. Both registration agencies have metadata schemas that can meet funders’ needs (with some minor exceptions that are being addressed), differences in fees were negligible for the funders in question, both services’ APIs were usable for the development of an integration with funders’ platforms, and testimonials showed that both DataCite and Crossref provide high-quality support to their members. In a case like this where existing integrations were not a factor, any decision largely comes down to a matter of taste in evaluating the metadata and API structures. While this question came up in the context of DOIs for funders, it is in no way unique to that use case. Crossref and DataCite’s metadata schemas both allow you to register DOIs for the following non-exhaustive list of entities: journal articles, books, datasets, dissertations, grants/awards, peer reviews, preprints, reports, and standards. Neither registration agency focuses exclusively on any particular demographic, though both partner with a range of organizations to provide specific services (e.g., IGSN, funders, RAiD). This situation makes it difficult for neutral third parties to make useful, general, evidence-based recommendations around how to register DOIs in practice. So, in this session you will have a chance to share your experiences evaluating DataCite in comparison to Crossref. Are there meaningful distinctions between the two services that we are missing? If you’ve recently chosen between Crossref and DataCite, how did you make that decision? If you’re in a position to guide organizations who ask which registration agency to use, how do you develop that guidance? Do any representatives from DataCite or Crossref have thoughts they would like to share? The goal is **not** to criticize anything in particular about either registration agency individually, but rather to point out that collectively their development has yielded the present confusing situation for prospective PID registrants. This session could yield: Shared guidance around how organizations worldwide can choose a DOI registration agency; a community call for guidance from DataCite and/or Crossref on this question; and/or community recommendations around whether DataCite and/or Crossref should further specialize or harmonize their services to either clarify or eliminate this question. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/KNXYFN/ LUMC05 Tristan Kuehn John Aspler PUBLISH LBLWV3@@pretalx.surf.nl -LBLWV3 Modern Research Rodeo: Wrangling AI-slop using PIDs after the horse has bolted en en 20261027T113000 20261027T120000 003000 Modern Research Rodeo: Wrangling AI-slop using PIDs after the horse has bolted Generative AI (genAI) has entered the broader research landscape with a bang, but thanks to PIDs, it does not need to be a death knell. In the last couple of years, the developments of genAI have offered researchers some real-time saving benefits but at a significant cost. For example, traditional reproducibility mechanisms have become overwhelmed by AI-generated submissions, degrading trust. This also extends as genAI models cannot distinguish between good and bad research methods and may incorporate "paper mill" and other low-quality research articles into answers with equal or even higher weight due to their prevalence (i.e. the abundance of low quality articles) and as a result it may turbocharge the citation problems of the past. Additionally, as new genAI models are trained on ever more massive datasets, new problems may arise when the genAI model is: (1) using hallucinated works; (2) mixing original works with hallucination or mixing original works with each other; (3) using original works without permission; and (4) original authors being unaware their work is being used. This could lead to a scenario where there is research stagnation, propagation of misinformation, and increased distrust both within the research community and society at large. However, this does not need to be the case! With PIDs, the research community can take a well-established and trusted framework and adapt it to include both the inputs and outputs of genAI as well as the models themselves, providing a stabilising force in these uncertain times. You will see a vision of how PIDs can address the proliferation of genAI outputs and their opaque provenance with a value-based approach that focuses on: transparency over detection, infrastructure over policy, normalisation over stigma, evolution over perfection, and coordination over fragmentation. You will be presented with an outline of how the existing technology and PID infrastructures can already address reproducibility and providence as well as be extended. We will also address the adoption pathways that exist for different stakeholders. Come join us, get up to speed and help pave the way to a better research landscape with genAI instead of a fractured wasteland of slop and distrust! PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/LBLWV3/ LUMC06 Knowledge Exchange PIDs4AI working group PUBLISH BE7XEP@@pretalx.surf.nl -BE7XEP The "ORCID or Nothing" Myth: Why ORCID Doesn’t Want to Replace Your Researcher ID System (And Why That’s Good) en en 20261027T120000 20261027T123000 003000 The "ORCID or Nothing" Myth: Why ORCID Doesn’t Want to Replace Your Researcher ID System (And Why That’s Good) The global research ecosystem thrives on diversity, yet the misconception that adopting global standards, like ORCID, means displacing essential local or disciplinary identifiers remains. This is a myth. The most resilient research infrastructures aren't built on a "one-size-fits-all" model; they are built on a "both/and" foundation that bridges the gap between global discoverability and regional-, discipline- or system-specific context. In this session, we move beyond the "either/or" debate to showcase a framework for identifier interoperability. We will present real-world case studies demonstrating how integrating ORCID with national and specialist ID systems can reduce administrative burden through data integration and automated reporting and generate insights about international and cross-discipline collaboration . Stop treating identifiers as isolated silos. Learn how to navigate the technical and governance landscape to create a seamless, "invisible" experience for researchers that respects local and discipline-specific needs while enabling global coexistence. Participants will leave with a roadmap for advocating, implementing, and scaling a connected PID strategy that turns fragmented data into a unified global dataset. Questions the Session Will Address - The Synergy Advantage: How does the "ORCID and…" model generate deeper insights and higher trustworthiness than any single system can provide alone? - The Frictionless Researcher: Which specific integration strategies most effectively eliminate "identifier fatigue" for researchers navigating multiple systems? - The ROI of Connectivity: What are the tangible efficiencies, cost savings, and improved insights realized when ORCID is woven into national, discipline and institutional PID fabrics? PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/BE7XEP/ LUMC06 Kimberly Inniger Chris Shillum PUBLISH HFKNGF@@pretalx.surf.nl -HFKNGF A new global partnership to deliver RAiD at scale en en 20261027T123000 20261027T130000 003000 A new global partnership to deliver RAiD at scale This is a panel presentation featuring speakers from the Australian Research Data Commons - the global RAiD Registration Authority - and the RAiD Registration Agencies that make up the RAiD Operating Alliance. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/HFKNGF/ LUMC06 Giacomo Cannizzaro Tristan Kuehn Matthias Liffers Christopher Erdmann Sheila Rabun PUBLISH KV93EJ@@pretalx.surf.nl -KV93EJ How do we help more people to register DOIs? Accessing and providing DataCite services en en 20261027T141500 20261027T150000 004500 How do we help more people to register DOIs? Accessing and providing DataCite services Have you ever been asked by a researcher to register a DOI on their behalf? Or were you the researcher looking for access to DOI registration services? Have you had a member leave your consortium with no plan for long-term DOI stewardship? DataCite consortia provide DataCite services to organizations in their region, and the people who run consortia (DataCite Consortium Leads) have a lot of leeway to decide how their consortium operates and who gets to join; however, as DOIs have become more widely used - and as DOI use cases continue to expand to different entities (e.g., awards and grants, blog posts) - a significant number of complex institutional relationships are becoming clearer among potential member institutions, not all of which promise clear paths toward being able to register DOIs. In Canada, we've faced a number of challenging and interesting situations - members quitting without telling us, several organizations joining together under one membership, organizations that are not legal entities trying to join (e.g., individual labs), researchers with no way to access DOI services as individuals - which we want to share. We do not yet have a clear policy on how to address every situation, but each time we learn about the ways in which individuals and organizations are related to each other (in hierarchies and non-hierarchically), we see different ways that communities of practice could evolve. Some libraries might have policies to support individual scholars and research initiatives, while others might only have capacity and resources to focus on their collection. What should be done to support those cases that fall through the crack, where outputs could really use a DOI? While our thornier issues are focused on membership and stewardship, you might have radically different concerns in your region - this is also a space to share your questions, concerns, and insights around your local DataCite community of practice with leaders of other DataCite communities. Or else, perhaps you are having trouble accessing DataCite to register DOIs - what barriers and obstacles do you face? In this Birds of a Feather session, you will be able to share what kinds of organizations are eligible to participate in your region, how your local consortium or community of practice is funded (if at all), what kind of support consortium leads can provide, and how you deal - or have dealt - with challenging membership and stewardship edge cases. You will have space to discuss any tricky problems you face, share success stories, and understand how consortia vary around the world. DataCite provides virtual spaces for consortia to learn from each other, and this session will provide an important opportunity for consortium leads to share their points of view and strengthen a community of practice in person. This session could lead to: Community-developed best practices for member recruitment, DOI registration and stewardship, and DataCite service-provision, insight into how others do things around the world, and opportunities for clearer guidelines and policies to be developed centrally or in your region. PUBLIC CONFIRMED Birds of a Feather (BoF) https://pretalx.surf.nl/pidfest-26-2026/talk/KV93EJ/ LUMC06 Tristan Kuehn John Aspler PUBLISH 97GKMP@@pretalx.surf.nl -97GKMP "Keeping knowledge connected in a hostile information environment" en en 20261028T094000 20261028T102000 004000 "Keeping knowledge connected in a hostile information environment" What do we need PIDs to be if they're going to save the world? Addressing questions of geopolitics, trust in knowledge, sustainability models and the age old centralisation vs federation question (by questioning the assumptions in the question) PUBLIC CONFIRMED Keynote https://pretalx.surf.nl/pidfest-26-2026/talk/97GKMP/ Auditorium Cameron Neylon PUBLISH AFCZMM@@pretalx.surf.nl -AFCZMM Integrating complex workflows in hierarchical records by combining different PID types en en 20261028T114000 20261028T115000 001000 Integrating complex workflows in hierarchical records by combining different PID types This Lighting Talk presents our approach to hierarchical records that capture complete information on complex scientific experimental and computational workflows. We address this challenge within the DANTEc repository, developed for the materials science and engineering domain. In this context, the assignment of persistent identifiers (PIDs) is particularly demanding, as it must avoid duplication while ensuring unambiguous referencing of data and metadata. Our approach is presented at both the conceptual and implementation levels, illustrated through a use case in advanced steel development. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/AFCZMM/ Naturalis 01 Marek Cebecauer PUBLISH 7SNDZQ@@pretalx.surf.nl -7SNDZQ The Role of Persistent Identifiers in Reducing Questionable Research Practices in Scholarly Communication en en 20261028T115500 20261028T120500 001000 The Role of Persistent Identifiers in Reducing Questionable Research Practices in Scholarly Communication Research integrity is a cornerstone of credible and trustworthy scholarly communication. However, the increasing pressure to publish, competition for funding, and evaluation structure that emphasize publication system have contributed to the emergence of questionable research practices (QRPs). These practices may include honorary or ghost authorship, incomplete reporting of data, inadequate citation of sources, and difficulties in verifying research contributions. While such practices do not automatically create scientific misconduct, they can weaken the transparency, reliability, and credibility of research. In recent years, digital infrastructures supporting scholarly communication have begun to address these challenges through the implementation of PIDs. Persistent identifiers are globally unique and long-lasting digital references that enable reliable identification of key research entities, including researchers, publications, datasets, grants, and institutions. By connecting these objects across various platforms and databases, PIDs help create a transparent and traceable scholarly record. One of the most widely adopted researcher identifier systems is ORCID (Open Researcher and Contributor ID). ORCID provides researchers with a unique digital identifier that differentiates them from others with similar names and links their scholarly outputs across different systems. By ensuring clear attribution of research contributions, ORCID helps address issues such as author uncertainty and misattribution, which are frequently linked with questionable authorship practices. Similarly, publication identifiers managed by Crossref provide Digital Object Identifiers (DOIs) that allow scholarly articles, conference papers, and other research outputs to be persistently identified and cited. These identifiers enable accurate citation tracking and help prevent problems such as broken links or lost references in digital environments. In addition, dataset identifiers provided by DataCite allow research data to be assigned DOIs, making datasets easier to locate, verify, and reuse. The ability to link datasets directly with publications and researchers encourage transparency in research methods and supports the reproducibility of scientific findings. The integration of these PID systems contributes to the development of interconnected research information infrastructures. By linking researchers, publications, datasets, and institutions through PIDs, scholarly communication becomes more transparent and accountable. This interconnectedness allows publishers, funding agencies, and research institutions to track research outputs more effectively and verify the relationships between research contributions. Moreover, the use of PIDs also aligns with broader efforts to endorse open science and accountable research practices. In this context, the role of PIDs in enabling the FAIR data principles, which aim to ensure that research outputs are findable, accessible, interoperable, and reusable. Thus, the adoption of PID structures can provide an effective mechanism for establishment research governance and improving global visibility of locally produced scholarship. Many institutions in developing countries face challenges related to disjointed research information systems and limited monitoring of research outputs. Integrating PIDs into institutional repositories and national research databases can help create a more reliable and transparent research ecosystem. Therefore, PIDs are not only technical tools but also important instruments for promoting ethical research practices. By improving the traceability of scholarly outputs and strengthening the connections between researchers and their work, PIDs contribute to a more trustworthy and accountable scholarly communication system. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/7SNDZQ/ Naturalis 01 Kamani Perera PUBLISH MUGF9Q@@pretalx.surf.nl -MUGF9Q The Heritage Sample Register: Implementing IGSN and FAIR Digital Objects for Cultural Heritage en en 20261028T121000 20261028T122000 001000 The Heritage Sample Register: Implementing IGSN and FAIR Digital Objects for Cultural Heritage The Heritage Sample Register (HSR) addresses a critical gap in the cultural heritage sector by providing a dedicated registry for persistent identification at the sample level. While publications and datasets are increasingly integrated into the persistent identifier (PID) landscape, the physical fragments generated for research purposes often remain siloed. The HSR aims to establish a sustainable register that treats these specimens as first class research citizens. This ensures that the relationship between a parent heritage asset and its derived scientific samples remains digitally intact and traceable. **Technical Framework** The foundational technology of the registry is the International Generic Sample Number (IGSN). This PID system is specifically designed for physical materials and is now tightly integrated with DataCite. This integration allows heritage samples to exist within the broader DOI ecosystem. By utilizing this infrastructure, heritage samples are included in DataCite Commons. This enables the discovery and linking of samples to related research assets such as publications, datasets, and researcher profiles. The backend of the registry is built on Cordra. This platform is widely considered a reference implementation of a FAIR Digital Object (FDO) ready repository as it natively implements the necessary requirements for machine actionability. Within this framework, all sample metadata is modelled and validated using JSON Schemas. This provides a rigorous data structure while maintaining the flexibility required for the diverse range of materials found in museum and archaeological research. **Operational Strategy** The HSR provides a minimal descriptive record for each sample. This record is sufficient to make the specimen findable and citable. A key principle of the registry is that it does not require institutions to duplicate or move their existing data. Instead, it acts as a central identification layer. Detailed analytical data and images remain in their original institutional repositories or project platforms. The IGSN serves as the stable reference point that connects the physical sample to these distributed digital resources. Over time, this infrastructure will support the creation of digital twins that aggregate all known information about a specific sample. **Community and Sustainability** A primary goal of this initiative is to move beyond a project based pilot toward a sustainable community model with a solid governance structure to oversee the long term evolution of the register. An online sruvey will be set up to help us understand community needs, identify potential pilot collaborators, and plan the staged development of the service. This collaborative model ensures that the registry remains a community owned asset. The initiative is a collaboration between the National Gallery, KIK-IRPA, Deutsches Bergbau-Museum Bochum, and IESL-FORTH. It is currently supported by the ECHOES and HSDS projects. The registry is rooted in the E-RIHS Research Inf and builds on work from the IPERION HS project. We actively engage with the IGSN DataCite Archaeology and Cultural Heritage of Practice to align our standards. We are also exploring complementary connections with the ICCROM Register of Heritage Samples Archives. By the time of PIDfest 2026, we expect the technical preview to be operational. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/MUGF9Q/ Naturalis 01 Wim Fremout PUBLISH PC8XGW@@pretalx.surf.nl -PC8XGW Metafiles: Lightweight FAIR Metadata and Provenance with ARK Identifiers en en 20261028T122500 20261028T123500 001000 Metafiles: Lightweight FAIR Metadata and Provenance with ARK Identifiers ### Persistent identifiers The system separates internal file references from external identifiers. Inside the system, files can be referenced using simple relative names, while externally all objects are identified using persistent ARK identifiers. Different strategies for generating ARK identifiers are supported. These include identifiers derived from content hashes (using a betacode encoding), identifiers based on file names, and transparent human-readable identifiers when appropriate. This flexibility allows institutions or projects to adopt identifier policies that match their workflows. The system supports delegated namespaces through ARK shoulders, allowing sub-authorities to manage their own identifier spaces within a shared namespace. An integrated ARK resolver is included as part of the infrastructure. ### PID relationships and provenance The system allows relationships between research objects to be expressed as a PID graph. Relationships between datasets, files, scripts, and derived results can be described using machine-readable metadata based on the semantics of `dcterms` and `PROV`. These relationships can be defined both for objects managed within the ARK infrastructure and for external resources identified by other persistent identifiers or URLs. This makes it possible to describe provenance chains across heterogeneous research infrastructures. For internally managed objects the system also supports automatic creation of bidirectional relationships, bulk linking between sets of files, and structured references between datasets and derived outputs. ### FAIR data management Metafiles supports both simple and complex metadata descriptions. Metadata can include widely used vocabularies and ontologies such as FOAF or ORG when needed, while still allowing lightweight descriptions for smaller datasets. Projects can define policies for persistence of both data and metadata, and the system can enforce or validate these policies. This helps ensure that metadata remain accessible even when data are archived, moved, or removed. The system can also support metadata requirements connected with regulatory frameworks such as NIS2 where relevant. ### Data organization The basic management unit is a directory or an entire subtree of a file repository. This reflects how research data are typically organized in practice and allows metadata management to follow existing project structures. Metadata can be attached to individual files, but more commonly they are defined for directories, directory subtrees, or groups of files selected using filename pattern matching. Two types of metadata inheritance are supported: * **vertical inheritance**, where metadata defined at higher levels of the directory structure apply to files in lower levels, and * **horizontal inheritance**, where files may match multiple filename patterns and therefore inherit metadata from multiple definitions. Metadata extracted by external tools can be imported using simple XML files with a clear structure. ### Implementation The system is implemented in Python and builds on several widely used open-source libraries: - **rdflib** for processing, serializing, and storing RDF metadata - **SQLAlchemy** for storing metadata in relational database systems - **lxml** for processing XML metadata and configuration files Support for XML XInclude allows metadata and configuration fragments to be distributed and reused easily across projects. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/PC8XGW/ Naturalis 01 Jiří Fišer PUBLISH HMFQNK@@pretalx.surf.nl -HMFQNK Institutional Repositories and PIDs: A Case Study at the American University in Cairo en en 20261028T124000 20261028T125000 001000 Institutional Repositories and PIDs: A Case Study at the American University in Cairo How do institutional repositories (IRs) use PIDs? In this session you will hear about how one institution, the American University in Cairo (AUC), has begun to explore the utilization of PIDs in its institutional repository. In this lightning talk you will: Learn about the current landscape of PID use within IRs; Understand the differences between types of deposits as they relate to PIDs, such as between student theses and dissertations and faculty publications; Examine the current state of PID use within the AUC community; Review how the library team at AUC is building a case for PID use within its repository. You will also hear more about the difference of dynamics between research institutions in the Global North and Global South. What are the unique challenges and opportunities when doing this work in different sociopolitical contexts? How do FAIR principles relating to PIDs change across borders? Come join me to start thinking about this topic - and expect to leave with many more questions than you came in with! PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/HMFQNK/ Naturalis 01 Alice Kallman PUBLISH NWHMFM@@pretalx.surf.nl -NWHMFM Optimizing ORCID Adoption Using Data: Insights from the Czech National ORCID Consortium en en 20261028T125500 20261028T130500 001000 Optimizing ORCID Adoption Using Data: Insights from the Czech National ORCID Consortium Do you want to improve duplicate, incomplete, or inconsistent researcher data? Using the Czech Republic as a case study, you will see how working with data can reveal different types of issues in researcher identification. In this session, you will discover how you can use real data to better understand and improve ORCID adoption and data quality in your research environment. You will learn how data analysis can help identify and explore data quality issues, illustrated through a practical example based on data from a national current research information system (IS VaVaI), such as identifying potential duplicate records (e.g. multiple ORCID iDs assigned to the same researcher, inconsistent identifiers, or similar names and affiliations). You will also see how these approaches can be applied over time to track trends and monitor improvements in data quality. You will also discover how working with additional data sources can provide further insights into ORCID adoption and profile completeness, depending on available data and context. These findings can help you better understand how researchers engage with ORCID and where targeted support or communication may be needed. You will also see how these insights are translated into practice — for example, by sharing identified issues with institutions and national stakeholders to support data correction and improve overall data consistency. After this session, you will better understand: - how to identify and categorise data quality issues (such as duplicate researcher records) using real-world data, - how to use data analysis to support communication with institutions and policymakers, - how to apply data-driven approaches to improve ORCID adoption and data quality. This session offers a practical example of how working with data about researcher identities can strengthen the role of persistent identifiers in a national research ecosystem. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/NWHMFM/ Naturalis 01 Hana Šilha Machová PUBLISH KATR7H@@pretalx.surf.nl -KATR7H Indicators of success; building a successful PIDs implementation from the ground up en en 20261028T141500 20261028T142500 001000 Indicators of success; building a successful PIDs implementation from the ground up Do you need help defining what clear indicators of success look like when building a persistent identifier program from the ground up at your institution? In this session, you’ll see how you can launch a PID, such as ORCID, in a decentralized environment, prove value early, and scale with confidence. You’ll hear about the specific and practical actions, metrics, and governance engagements that turned a pilot into a campus‑wide plan. At Waterloo we started with a targeted goal of researcher affiliation assertions for PhD students and postdocs, engaging with our Graduate Office, to boost trust in graduate research impact and streamline reporting. What we ended up with was significant campus engagement and momentum toward building a PIDs engaged ecosystem; that is leveraging the success of a limited pilot to form systemic change. You’ll learn what to track, how to communicate, and where most teams get stuck. You’ll also see how to expand your success by building readiness to launch partnerships through engagement and outreach and technical readiness. The goal is that you learn to communicate how your PID work keeps knowledge connected across people and systems. After this session, you will: Have a starter set of success indicators that can be applied to your own PIDs projects; See practical examples of how asserting affiliation and connecting PID data supports research impact and reporting; Take away strategies for expanding implementation, building trust, and forming partnerships that support governance, sustainability, and long‑term integration; Be able to anticipate and overcome common barriers and plan scalable next steps. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/KATR7H/ Naturalis 01 Laura Bredahl PUBLISH SJMTGX@@pretalx.surf.nl -SJMTGX Identifiers Beyond the Persistency: A Truly Decentralised PID Concept with Rankless Trust Model en en 20261028T143000 20261028T144000 001000 Identifiers Beyond the Persistency: A Truly Decentralised PID Concept with Rankless Trust Model Today's persistent identifiers carry a structural contradiction that every librarian, data manager, and researcher eventually confronts: they maintain permanence, yet they depend entirely on a likely centralised registry whose own future nobody can guarantee. The annual fees, governance negotiations, and singular global providers we are all already paying for it in time, budget, and institutional risk. This structural vulnerability is not distributed equally. Institutions in the Global South often face subscription fees denominated in foreign currency, complex procurement processes, or outright commercial restrictions that limit their ability to mint or maintain identifiers. It creates an inconvenience for well-resourced institutions, becoming an outright barrier to participation for others. Our presentation describes a novel PID architecture designed to resolve that contradiction at its main intention. The concept doesn’t rely on blockchain infrastructure, cryptocurrency stakeholders, or any form of integrated registry with its governance burdens. Instead, it draws on well-established, freely available data engineering principles already powering the open internet: distributed hash tables (DHTs) for discovery, cryptographic signatures for integrity, Git-like sectioned hash trees for versioned storage, and message-passing protocols. These components combine into a network where anyone can mint, resolve, maintain, and express trust in certain Providers independently, and without a central authority. The key innovation is a layered system of realms - think of them as organised, rule-governed namespaces that any minting entity (Provider) can define and maintain for their own data. Because the same object can belong to multiple realms at once, a single identifier intentionally can be looked up meaningfully from different scopes (realms) without duplicating records or paying for multilayered references. The multi-realm architecture borrows a concept from POSIX operating systems: just as Unix-like systems expose devices through multiple virtual directories (by-id, by-name, by-path) pointing to the same physical device, the DPID network allows the same identifier to be resolved through different realms without duplicating records. This enables what we call instrumental realms: resolution paths that reflect different perspectives on the same object, making PIDs more useful and adaptable to diverse workflows. Trust in the proposed network is rankless and local: each node independently verifies the integrity of identifiers and metadata using publicly verifiable cryptographic methods. This approach, modelled on verification patterns of Git and the redundancy patterns of BitTorrent, ensures that trust remains a local, earned property rather than a globally assigned status. Resilience against data loss is built in from the start. Every provider in the network is expected to maintain independent copies of the data objects they resolve, and the architecture is specifically designed so that identifiers remain resolvable even when individual Providers go offline or withdraw from the network. The project is currently at an active conceptual and prototyping stage. The early-stage node prototype implementation is in progress. The immediate roadmap focuses on assembling a small coalition of pilot institutions willing to run compliant nodes, stress-test multi-realm resolution across real collections, and co-author the first open specification draft. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/SJMTGX/ Naturalis 01 Andrey Vukolov Sergio Santamarina PUBLISH HUSRDA@@pretalx.surf.nl -HUSRDA Agreement PIDs: Small Schema, Big Story en en 20261028T144500 20261028T145500 001000 Agreement PIDs: Small Schema, Big Story You often know that an article has been published open access in a journal, but not necessarily why. Is something missing? The present metadata schemata do not provide any information on this. Perhaps the article you are interested in is part of a transformative agreement, membership or consortia model. Have you ever tried to look for this information? It can be time-consuming or even impossible. Even if the information is mentioned in the full text, it is neither easy to find nor efficient to reuse, as it is not machine-readable. Examples include SCOAP³ and the German DEAL project, which are mentioned in the licence information and acknowledgements, respectively. Wouldn't it be great to have a unique, permanent identifier for open access agreements, similar to the models mentioned above? Combined with a central registry, this PID enables you to receive detailed information about why an article is open access, thus providing deeper insight into academic publishing. You can already find out about contracts with publishers, including OA models, at the electronic journal library (EZB) at Regensburg University Library. Integrating the registry with dedicated PIDs in the EZB's existing infrastructure guarantees its long-term sustainability. Combining this information with existing PIDs, such as ROR for organisations, will provide you with detailed information at article level by enriching it with metadata using the PID. Furthermore, the registry's standardised interfaces make it easily reusable! Would you like to gain a deeper insight into the EZB and the new registry? You can find it here. You will learn about all the ideas behind the stored information and how it makes necessary information transparent for keeping track of Open Access publishing. You will immediately see how the registry is embedded within the existing infrastructure. Using the openCost metadata schema, you can add PIDs to your institutional repositories and contribute to cost transparency at an institutional level. You can reuse the data with statistical tools because it is machine readable, or simply take a look at the graphical user interfaces, which are user-friendly and clearly arranged. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/HUSRDA/ Naturalis 01 Gernot Deinzer PUBLISH 7SNTGE@@pretalx.surf.nl -7SNTGE Building an Automated DOI Check System for FSU's ORCID Integration - A Use Case en en 20261028T150000 20261028T151000 001000 Building an Automated DOI Check System for FSU's ORCID Integration - A Use Case Florida State University recently completed an integration between ORCID and our home-grown information management system FEAS (Faculty Expertise & Advancement System). Previously, FSU created an integration that allowed users to move their data from ORCID to FEAS, the recent project completed the two-way integration so that users could move data from FEAS to ORCID, as well as creating a DOI check to ensure that data is as accurate as possible when making it publicly accessible in ORCID. Our aim for this project initially was to write DOIs to FEAS records to eliminate entry errors. Many records in FEAS are missing DOIs, and because of the varied nature of work types in FEAS, some records don’t include a DOI field. We ultimately decided trying to add DOIs to FEAS records would be too complicated for the varied nature of the work of FSU faculty while we were also completing the two-way integration, but we also wanted to ensure the accuracy of DOIs when transferring them to ORCID. The library partnered with FDA (Office of Faculty Development and Advancement) and IR (Institutional Research) to build a DOI check system using Snowflake and open data that catches incorrect DOIs before they are uploaded to ORCID. Several levels of validation are conducted between FEAS and Snowflake using open data to ensure the articles match and that DOIs are being corrected for the appropriate publication and author. This process captures only a fraction of the total number of articles in FEAS but this system is replicable for your institution to validate PID data. There are ongoing discussions at FSU about using the open PID data used to validate DOIs to suggest publications to researchers, eliminating the need for scholars to manually enter information themselves. Your institution likely requires researchers to enter data, how can you utilize open PID data to support your researchers? PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/7SNTGE/ Naturalis 01 Jeremy Katz PUBLISH GBGS8E@@pretalx.surf.nl -GBGS8E Get to know the e-learning 'Getting Started with PIDs'! en en 20261028T151500 20261028T152500 001000 Get to know the e-learning 'Getting Started with PIDs'! As a data steward/information specialist, you work with Persistent Identifiers yourself while simultaneously advising researchers on their proper use. Knowledge of PIDs and the associated systems and processes is indispensable in this regard. What PIDs are there? How are they assigned? And how are they deployed? What are the best practices and the best advice you can give? A number of data stewards from DCC-PO, the national knowledge center for research support in practice-oriented research, are developing the e-learning 'Getting Started with PIDs'. The e-learning answers the questions above. More than twenty PIDs are covered. Additional tips and best practices are provided for the Persistent Identifiers DOI, ORCID, ROR, RAiD, and GrantID. These are the PIDs that are important for the national open-access platform for practice-oriented research in the Netherlands: Publinova. In the session 'Get to know the e-learning 'Getting started with PIDs'': *you will get to know the interactive content of the e-learning, *gather ideas on how to implement the e-learning within your own institution, *at the same time, you will boost your knowledge of PIDs, *and contribute ideas on how to make the e-learning even better. With the e-learning, you have a tool in your hands to get the most out of PIDs. Take on your role within your institution and make research output and its creators widely and permanently findable. Are you a researcher or support staff and curious about the use of PIDs? You are more than welcome at this session! The e-learning is being developed and made accessible within the open platform Wikiwijs, accessible to everyone. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/GBGS8E/ Naturalis 01 Sarah Coombs PUBLISH RLLNBJ@@pretalx.surf.nl -RLLNBJ How to Become FAIR as an Organization: Building a FAIR RDM ecosystem supporting selected PID-Types within the Helmholtz Association – Concept, Progress and Lessons learned en en 20261028T153000 20261028T154000 001000 How to Become FAIR as an Organization: Building a FAIR RDM ecosystem supporting selected PID-Types within the Helmholtz Association – Concept, Progress and Lessons learned The Helmholtz Metadata Collaboration is tasked with implementing harmonized metadata concepts into the existing and planned Helmholtz data ecosystem. The overarching goal is to establish a well-structured, harmonized FAIR metadata space that enables seamless connection of information across distributed data infrastructures. Achieving this goal requires standardizing dataset descriptions with appropriate metadata and defining a single source of truth for much of the redundant metadata, from which different systems can draw. Persistent Identifiers (PIDs) in metadata enable the reuse of common information from shared sources, thus mitigating redundancy in datasets. The broad adoption of PID types enhances interoperability and supports machine-actionability. As part of our Road-to-FAIR strategy, we are developing concrete recommendations for metadata handling and implementation across the whole organization. In this capacity, we recommend broadly implementing ROR, ORCID, IGSN, PIDINST, DataCite DOI, and Crossref DOI into our data systems. In practice, however, just demanding PID Implementation is not enough. To turn FAIR into reality, a number of decisions have to be made: 1. How do we establish workflows to record the PIDs and their metadata? 2. Who is responsible for the registration and maintenance of these PIDs? 3. What tools and services do we need to support workflows and people, and how do we connect these services? In other words: how do we build a suitable data ecosystem, supporting PIDs at all levels? And – why didn’t it work in the past? In this presentation, I will briefly present the building blocks of our Road-to-FAIR strategy. They will include the overall vision and prioritized tasks to achieve interoperability, reusability, and ultimately machine actionability for our data products. I will show that the traditional approach of asking researchers to submit their data to repositories should be reconsidered. In fact, almost everyone working in research, whether it is scientists, technicians, librarians, or even administrative staff, has a role in research data management, which can be activated. I will further report on the activities we’ve started within Helmholtz to engage these people in assuming responsibility for PID registration and maintenance, and on how to integrate them into the overall research documentation process. I will show how we are modelling these workflows across our six Earth and Environment centres. I thus hope to provide inspiration or a blueprint for others in a similar situation to HMC, fostering cultural change in practical research data management through PIDs. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/RLLNBJ/ Naturalis 01 Emanuel Soeding PUBLISH ERYZRS@@pretalx.surf.nl -ERYZRS Who Did What to Which Dinosaur? Provenance Tracking with RAiDs en en 20261028T114000 20261028T115000 001000 Who Did What to Which Dinosaur? Provenance Tracking with RAiDs At Naturalis Biodiversity Center, research activities and the data they produce come in all shapes and sizes: soil samples from far-away lands are analysed in bubbling laboratory vials to extract genomic information; ancient dinosaur bones from the depths of our natural history collection go through X-ray machines to get scanned into 3D-models; all while image and audio sensors hidden in the forest capture wild creatures as they pass by, unaware that they might be featured in the front page of the next biodiversity report... And have you heard of _AI_? As you can imagine, data pipelines are complicated. We started collaborating with SURF in a pilot study to implement _Research Activity Identifiers (RAiDs)_ at Naturalis and tackle the challenge of recording **"what thing was done by who in the context of which project"**. In particular, we are interested in how things scale, since many of our use cases involve automated computational workflows that generate or update existing research data (and therefore, we also need to automate the minting and updating of the RAiD records as our systems execute actions). Imagine this simplified scenario: 1. _A scientist registers an upcoming **expedition** in our project management system_ 2. _During the expedition, a **sample** is collected and brought into our collection_ 3. _The sample is taken to the laboratory, where it undergoes certain **analyses**_ 4. _Those analyses produce some interesting **raw data**, which ends up in our database_ 5. _Researchers access and refine that data, producing some graphs and other **derived outputs**_ 6. _The scientific insights, code and datasets are submitted to external repositories as **publications**_ Each step in this research process involves different people, equipment, and processes, might overlap to some degree and possibly take place under different projects and at different institutions. All 6 steps together can be understood as a research activity—_and each of them individually as well!_ In any case, there's a clear need for keeping track of things (**provenance**), and persistent identifiers are a key piece of that puzzle. After our initial pilot study, where we explored the potential of RAiDs as a link between different interacting systems, we are continuing developments around RAiDs and PIDs to achieve this vision. **In under 10 minutes, you'll learn about our journey and how we identified several use cases within our institution, automated RAiD API calls in some of our workflows, and even learnt the definition of _research activity_ by heart!** PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/ERYZRS/ Naturalis 02 Julian Lopez Gordillo PUBLISH NQCGMK@@pretalx.surf.nl -NQCGMK Bridging the Gap with B2INST: FAIRifying Scientific Instruments en en 20261028T115500 20261028T120500 001000 Bridging the Gap with B2INST: FAIRifying Scientific Instruments Are you considering **integrating instruments** and research equipment **into your FAIR data ecosystem**? In this session, you will discover how B2INST provides persistent identifiers that can be used to seamlessly **link research data to the scientific instruments** involved in research workflows. You will learn how **instrument PIDs can extend research workflows**, improve attribution and support compliance with funder mandates. You will walk away with **practical insights** into implementing PID-based instrument linking and **real-world examples** from early adopters. You will also receive tools **to help you start integrating** via a web interface or API. Whether you manage research data, build instrument registries, or support research workflows, this session will show you how to make your systems more connected, transparent, and future-ready. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/NQCGMK/ Naturalis 02 Tibor Kalman Göksenin Cakir PUBLISH P7SRPV@@pretalx.surf.nl -P7SRPV Improving metadata flows - The simultaneous use of multiple metadata schemas at disciplinary research data repositories en en 20261028T121000 20261028T122000 001000 Improving metadata flows - The simultaneous use of multiple metadata schemas at disciplinary research data repositories The DOI registration agency DataCite maintains the largest collection of metadata about research data and is uniquely positioned to facilitate activities like data discovery and scientometric research. However, previous research has highlighted that DataCite metadata is often incomplete. In this session, you will learn whether this problem can be addressed by improving metadata flows from disciplinary research data repositories to DataCite through optimized schema crosswalks. Eight disciplinary research data repositories from the social sciences and the geosciences were selected for the study. The analysis covers how disciplinary research data repositories simultaneously use disciplinary metadata schemas and the DataCite Metadata Schema, and how two metadata records describing the same dataset compare. The results show that considerable improvements are possible by optimizing crosswalks to the DataCite Metadata Schema. However, the parallel use of disciplinary and multidisciplinary metadata records at research data repositories is complex. For example, discpline matters, even for multidisciplinary metadata: some elements in the Datacite Metadata Schema are more applicable to certain disciplines; this has a significant effect on the completeness of DataCite metadata. A temporal analysis also highlights that metadata workflows are diverse, and in some cases, suboptimal crosswalks are likely not the cause of incomplete DataCite metadata. Comparing the disciplinary metadata schemas and the DataCite Metadata Schema on a structural level reveals that most differences between the disciplinary metadata schemas and the DataCite Metadata Schema are the result of different approaches to modelling statements about datasets, not the lack of opportunity to express them. However, the element sets of both disciplinary metadata schemas and the DataCite Metadata Schema could be extended to describe datasets in more detail. These observations demonstrate that disciplinary and multidisciplinary metadata schemas serve distinct purposes. Disciplinary repositories should take full advantage of the opportunities both options provide, because the most complete set of statements about datasets can be achieved by combining both disciplinary and multidisciplinary metadata schemas. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/P7SRPV/ Naturalis 02 Dorothea Strecker PUBLISH MYK7CL@@pretalx.surf.nl -MYK7CL Austria centers PIDs: the new PID.at Competence Center en en 20261028T122500 20261028T123500 001000 Austria centers PIDs: the new PID.at Competence Center Austria has more to offer than what meets the eye (which usually ends up being mountains and Mozart). Gems like Nobel laureate Anton Zeilinger prove that this small nation knows how to research big time. With the newly founded PID.at Competence Center, we aim to make Austrian research FAIRer by providing a wide array of PID services. This session will serve as your introduction to PID.at, explaining who we are, where we come from and what we do. You will get exclusive insights into our latest achievements and newest aspirations. Although we operate on a smaller scale for now, our long-term goal is to become an integral part of the global PID landscape. Of course, we can’t do that alone. All of you researchers, repository managers, policy makers, infrastructure providers etc. are key! We would be happy to collaborate, strengthen existing bonds and establish new partnerships. So, join us when we dare to ask the most intriguing of questions: What’s next? Building on a secure foundation of well-established PIDs like DOI, ORCID and ROR, we at PID.at are eager to implement new PIDs in the Austrian research infrastructure. Will you tackle the upcoming challenges alongside us? PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/MYK7CL/ Naturalis 02 Matthias Heni PUBLISH A8WGTL@@pretalx.surf.nl -A8WGTL Give it some ROR: Enriching Europe PMC with institutional IDs en en 20261028T124000 20261028T125000 001000 Give it some ROR: Enriching Europe PMC with institutional IDs Recording institutional Open Science outputs is a big challenge, especially when an organisation collates information from multiple disparate departments and sites. The uptake of PIDs across various outputs, such as articles, data, software, and preprints, as well as people, places and funding, can provide a solution to this challenge. Europe PMC is an open database of scientific literature. It provides comprehensive access to life sciences literature from trusted sources, available to anyone, anywhere for free. With Europe PMC you can search and read over 47 million publications, preprints, and other documents enriched with links to supporting data, reviews, and other relevant resources. The European Molecular Biology Laboratory (EMBL) is Europe’s life sciences laboratory and established its Open Science Policy in 2021. Europe PMC is used as EMBL’s institutional repository for sharing its research publications. As part of the Open Science Policy, the Office for Scientific Information Management (OSIM) at EMBL oversees compliance with the policy and collects data on EMBL-authored publications. Many institutions, including EMBL, generate and maintain publication output lists which have the dual function of measuring their positive impact on science and society and monitoring open science compliance among the researchers they support. These lists are therefore augmented with high-quality, human-curated, open persistent identifiers and links to other research outputs. However, these datasets and additional metadata often remain hidden in static spreadsheets and internal systems, making it difficult to share the information more widely, which can be used for meta-analysis or funder compliance, for example. To foster an interconnected Open Science landscape, Europe PMC has embarked on two pilot projects that incorporate ROR IDs into the literature records available in Europe PMC. These institutional IDs are collated by EMBL and SciLifeLab staff, respectively, using the curation process described above. This increases the quality and trustworthiness of the metadata by connecting people and outputs to their institutions, allowing for reliable reporting. A monthly workflow was created at EMBL to add ROR IDs to EMBL publications. OSIM pulls the publication data from the internal system and then applies site-specific ROR IDs. The data is then uploaded via Globus and automatically ingested into Europe PMC. The SciLifeLab has provided an initial dataset via email that is integrated to automated workflows internal to Europe PMC and discussions are ongoing for autointegration of further updates. To date 23,910 records have been enriched with institutional ROR IDs. Linking ROR IDs to publications in Europe PMC brings us one step closer to exposing rich metadata via an open and publicly available system that supports web interface and API programmatic access. This makes analysis and monitoring more open, reliable and efficient, and by integrating and exposing these manually curated ROR IDs we hope to demonstrate their utility and encourage upstream collection and delivery. This will ultimately reduce the need for the manual workflows currently employed by institutions to collate their outputs. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/A8WGTL/ Naturalis 02 Katie Hughes PUBLISH BHKS9K@@pretalx.surf.nl -BHKS9K Identifying Instruments and Facilities Down Under: The Australian experience en en 20261028T125500 20261028T130500 001000 Identifying Instruments and Facilities Down Under: The Australian experience Facilities and Instruments are key research infrastructures. Accurate and standardised identification of them is necessary to contextualise relationships between them and research entities (e.g., people, data, physical objects, software platforms, projects, etc.) and is essential for reporting to funders on uptake and usage. In Australia, the challenge of identification is magnified by geographical and organisational complexities. Research instruments are frequently distributed across vast distances, making centralised tracking difficult. Furthermore, national facilities often operate under a collaborative federal funding model, with their physical infrastructure housed within state-based organisations (e.g., universities or state-level agencies). This complex landscape makes the identification and citation of individual instruments, their host facilities, and links to related entities complex and complicated. In response to this complexity, the Australian National Persistent Identifier (PID) Strategy and the subsequent National PID Roadmap have provided high-level strategic guidance. Key components include: The Identification of Five Priority PIDs: Focusing the community's efforts on a core set of identifiers that deliver maximum benefit. The Australian National PID Benchmarking Toolkit: A resource providing practical metrics and methods for institutions to assess their current PID practices (10.6084/m9.figshare.29281667). National Level Stakeholder Engagement: Ensuring that the strategy is informed by, and tailored to, the diverse needs of the Australian research community. While the national strategy provides the why, the how and the who of policy implementation can remain a source of confusion. Recognising a significant community need for shared use cases and the development of common practices around specific PIDs and research entities, the i4iOZ (Identifiers for Instruments in Australasia) Community of Practice developed Best Practice Guides for the Facility and Instrument Identification in the Australian context. i4iOZ is a Community of Practice that focuses on instrumentation and related PIDs, such as facilities, and is uniquely placed to develop best practices drawing on discipline needs and international standards, including the Research Data Alliance PIDs for Instruments (PIDINST) Working Group and the US NSF-funded FAIR Facilities and Instruments Research Coordination Network and other National PID Plans. In this presentation, you will hear directly from those on the ground about the process of selecting the right identifier and the challenges of implementation across Australia’s complex research landscape, and the experiences of the following organisations will be shared: The University of Queensland (UQ) Centre for Microscopy and Microanalysis (CMM) CSIRO (Commonwealth Scientific and Industrial Research Organisation) Microscopy Australia Australian Research Data Commons (ARDC) This presentation is designed for Facility Managers, Research Managers, Research Infrastructure staff, Research Data Managers and researchers who are ready to move from planning to implementation and are looking to use cases for inspiration and business cases. Attendees will leave with practical use cases to inspire their own implementation efforts and solid business case examples to drive adoption of the recommended Australian practices. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/BHKS9K/ Naturalis 02 Siobhann McCafferty Lisa Yen Katie Hannan David Poger Jens Klump PUBLISH 7333KG@@pretalx.surf.nl -7333KG Help shape the DataCite Metadata Schema: Our community-driven process en en 20261028T141500 20261028T142500 001000 Help shape the DataCite Metadata Schema: Our community-driven process DataCite provides open infrastructure for research organizations to contribute key metadata about their research outputs, resources, and activities as part of DOI registration by using the DataCite Metadata Schema. The DataCite Metadata Schema can be used to describe research outputs, resources, and activities—from datasets, to preprints, to projects and awards. Supporting a variety of resource types means finding generalized solutions, creating flexible and adaptable structures, and staying focused on what metadata is most useful for citation, discovery, and reuse. To do this effectively, we need to actively work with and understand our community—both those who share metadata with us through DOI registration, and those who make use of that metadata to power discovery services, research activity tracking tools, bibliometric analyses, and more. Community members can help shape the DataCite Metadata Schema by engaging in DataCite’s community-driven process for sharing ideas and providing feedback on proposals. Our process has evolved over the years and currently takes place on GitHub Discussions—enabling community members to not only share ideas with DataCite staff, but to discuss challenges and proposed solutions with each other. In this session, you’ll learn how DataCite approaches developing the DataCite Metadata Schema and how you can get involved in this collaborative process. You can expect to: - **Understand DataCite’s process and philosophy for approaching schema changes.** Have you ever wondered how we prioritize proposed changes? What goes into sequencing what we work on next? - **Learn how you can share ideas with us.** You’ll learn how to craft your suggestion to include the context and examples needed to spark discussion. - **Know what goes into developing a Request for Comment (RFC) behind the scenes.** We’ll discuss how DataCite staff and the Metadata Working Group craft a proposal based on what we’re learning from the community, synthesizing different ideas and considering how we can achieve small changes with maximum impact. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/7333KG/ Naturalis 02 Kelly Stathis Matthias Liffers PUBLISH DV8EPB@@pretalx.surf.nl -DV8EPB Building the Commons: Governance Games en en 20261028T143000 20261028T144000 001000 Building the Commons: Governance Games One of the challenges with persistent identifier work is communicating the possibilities, the “what if” scenarios. How to illustrate what and how things would be different and better with PIDs, the variety of use cases, the immediate user experience, the impact on the research ecosystem. Policy papers and infographics are not enough. Where we see real change is where people are experiencing the impact first hand. The same is true with governance work. While people acknowledge the importance of community governance for sustainable commons, most have no direct experience with participatory decision-making at home or at work. And many actively avoid governance work thinking it at best yawningly boring or at worst terrifyingly strict. So, given these blockages, what can we PID practitioners do to foster community commons? How can we move beyond words to build capacity and inspire action? Here is where learning science and open infrastructure come together to make something beautiful: interactive immersive online games. In this workshop, you are invited to bring your head and your hands to a co-design experience. The goal is to develop story lines for an immersive online game about building the commons, in which the players explore community governance. Game data sets are continuous, researchers study subsets, how can we integrate PIDs? How do we ensure community governance of data schema? Who decides the sustainability model for the commons? You’ll get to practice participatory consent processes, experience shared power in group work, and explore the use of facilitated rounds to surface and prioritize game design features. Why is PID work a game changer? Who does the change matter to? What use case(s) should the game focus on? What are the player avatars? What do the players struggle with? What are the story line outcomes? What are the key learning objectives? Bring your PID passion, bring your visionary imagination, bring your heads and hands. We’ll bring the post-its and markers. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/DV8EPB/ Naturalis 02 Laure Haak PUBLISH NGQPYE@@pretalx.surf.nl -NGQPYE Do commercial publishers care about metadata quality&quantity? en en 20261028T144500 20261028T145500 001000 Do commercial publishers care about metadata quality&quantity? The project presented in the talk wants to define a set of commercial publishers, a set of relevant metadata (e.g. affiliations), and a set of indicators (e.g. type of publication, if they are open access or not); then define open data sources (e.g. crossref participation reports, OpenAlex, OpenAIRE) and techniques (use of API, scripts) to find out quantitative and qualitative dimensions of the issue. Presentation will include project design, examples, API calls and scripts developed. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/NGQPYE/ Naturalis 02 Stefano Bolelli Gallevi Dario Basset PUBLISH U8AYRR@@pretalx.surf.nl -U8AYRR Keeping Knowledge, and Keeping it Connected: Digital Preservation, PIDs and Metadata en en 20261028T150000 20261028T151000 001000 Keeping Knowledge, and Keeping it Connected: Digital Preservation, PIDs and Metadata Around May 2025, media reports picked up on the loss of knowledge from scientific data bases situated in the U.S. Resources were reported to be disappearing or being altered, apparently in avoidance of research topics deemed objectionable by the current administration. Political and financial pressure also calls the maintenance and independence of important data bases like PubMed into question. In response, grassroot initiatives and major institutions quickly joined in an international effort to duplicate and archive endangered data pools and secure them for scientific use. Though geopolitical developments have been exacerbating the situation, the vulnerability of digital records is nothing new. The history of storing knowledge is also the history of the physical life span of the media involved becoming shorter, of the tools needed for access becoming more complex, and of modes of recording and reading becoming obsolete ever faster – compare engraved stone, parchment, paper, magnetic tape, and a Visicalc file on a floppy disk. Yet the share of digital only objects in library holdings and scientific output is growing rapidly. For all the advantages of digitalization, digitalized knowledge needs digital preservation, as a dedicated and ongoing process and effort. But for preservation services to be of all the help they can be, we need to know which archive to go to when looking for a resource. Digital preservation can be provided by a different entity than the database the DOI points to and/or in dark archives, which are not searchable from external applications. Once scientific resources disappear from the internet, search indexes, etc., you need a stubbornly findable clue where to look for them instead, in order to access them and maybe instigate their re-publication. The obvious place for this kind of clue is in the PID metadata of the resources. A2 of the FAIR principles sketches this use case: „Metadata are accessible, even when the data are no longer available“. While this aims at securing minimum information on resources which have indeed vanished, it also predestines FAIR metadata (and the PIDs included in them, according to principle F1) as the permanent signpost for resources not altogether gone, but gone from sight, or having been damaged or corrupted, to the places where they are securely archived. Better still to be lost and found than to be lost and persistently remembered. But which sort of information should we ideally note down in the metadata to document the archiving and aid recovery, and how well fitted are different types of PIDs and their metadata schemata to accommodate this? Are there gaps in PID metadata design and usage we might want to fill? This talk will give you a short oversight and input on the topic, as an invitation to address it from your own specific PID point of view. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/U8AYRR/ Naturalis 02 Robin Kraus PUBLISH WEGPA3@@pretalx.surf.nl -WEGPA3 Persistent Identifiers in the Age of Artificial Intelligence: Building Trusted and Interoperable Research Ecosystems in Developing Nations en en 20261028T151500 20261028T152500 001000 Persistent Identifiers in the Age of Artificial Intelligence: Building Trusted and Interoperable Research Ecosystems in Developing Nations The global research ecosystem is undergoing a profound transformation as artificial intelligence (AI), Internet of Things (IoT) technologies, and large-scale digital infrastructures reshape how knowledge is produced, managed, and disseminated. The increasing scale and complexity of research data present significant challenges for organizing, discovering, and linking scholarly information. As scientific projects generate vast volumes of datasets, publications, software, and other research artifacts, ensuring reliable identification and connectivity among these resources has become a critical requirement for modern research systems. PIDs have emerged as a key solution to this challenge. PIDs are globally unique and permanent digital references assigned to research entities such as researchers, publications, datasets, software, instruments, organizations, and even abstract concepts such as controlled vocabulary terms. By providing stable and resolvable identifiers, PIDs enable research objects to be consistently located, cited, and linked across digital platforms. In practice, PIDs support the creation of interconnected research ecosystems in which different components of the scientific process—people, outputs, institutions, and funding sources—can be reliably connected. The importance of PID is closely linked to the FAIR principles for scientific data management. The first FAIR principle emphasizes that both data and metadata must have globally unique and PIDs to ensure that research outputs remain findable and accessible. In an increasingly machine-driven research environment, where AI systems rely on structured and machine-readable metadata, persistent identifiers play a central role in enabling automated data discovery, interoperability, and reuse. Several international initiatives have developed large-scale PID infrastructures to support global scholarly communication. Researcher identifiers such as ORCID allow scholars to maintain unique digital identities that link their publications, datasets, and professional contributions. Similarly, organizations such as Crossref and DataCite assign Digital Object Identifiers (DOIs) to scholarly publications and research datasets, ensuring persistent access and citation tracking. Institutional identification systems such as the Research Organization Registry provide standardized identifiers for research organizations worldwide. Together, these PID systems contribute to the development of interconnected scholarly knowledge graphs that can be analyzed by AI systems to map research relationships, support literature discovery, and evaluate research impact. The growing scale of digital research outputs introduces new challenges for PID infrastructures. The rise of Industry 4.0 technologies, open-source development, and automated data collection systems has dramatically increased the number of research artifacts that must be identified and managed. A single scientific project may produce hundreds of thousands of files, including datasets, code, metadata records, and analytical outputs. At a global scale, research activities can generate trillions of digital files, requiring scalable systems for identification, metadata management, integrity verification, and long-term accessibility. For developing nations, the adoption of PID frameworks offers an opportunity to strengthen national research ecosystems. Many research institutions in developing countries face challenges such as fragmented repositories, inconsistent metadata practices, limited global visibility, and difficulties in tracking research outputs. Implementing PID-enabled infrastructures help address these issues by improving the discoverability of research outputs, supporting research integrity through clear attribution, and enabling interoperability between institutional repositories and international research platforms. PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/WEGPA3/ Naturalis 02 Anushka Earskin PUBLISH AQP3GD@@pretalx.surf.nl -AQP3GD Persistent Identifiers in Action: The ePIC Consortium en en 20261028T153000 20261028T154000 001000 Persistent Identifiers in Action: The ePIC Consortium Discover **ePIC** _(Persistent Identifier Consortium for eResearch)_, which provides a robust infrastructure for registering, maintaining and resolving PIDs. During this session, you will learn how to use ePIC’s **generic-purpose PIDs** to make your research workflows more efficient and enhance your data ecosystems. You will also gain an understanding of ePIC’s **governance structure**, as well as its **collaborations** with academia, research institutions, and technology providers. The session will also cover **added-value services**, support for the PID ecosystem, and ePIC’s participation in global data initiatives. Specifically, you will take away: 1. Insights into the **operation and governance model** of ePIC. 2. **Examples** of added-value services for the research community. 3. Use cases demonstrating the **diverse applications of ePIC PIDs** in various fields PUBLIC CONFIRMED Lighting Talk without Q&A https://pretalx.surf.nl/pidfest-26-2026/talk/AQP3GD/ Naturalis 02 Tibor Kalman Natascha van Lieshout PUBLISH XET3E7@@pretalx.surf.nl -XET3E7 Keeping Knowledge Connected: Designing Personas to Drive PID Adoption en en 20261028T114000 20261028T124000 010000 Keeping Knowledge Connected: Designing Personas to Drive PID Adoption Persistent identifiers are a foundational infrastructure for keeping knowledge connected, but infrastructure alone does not drive adoption. Successful PID engagement depends on understanding the motivations, incentives, and constraints of the many stakeholders who interact with research systems. This interactive workshop explores how persona-based engagement strategies can help the PID community communicate the value of PIDs more effectively across diverse stakeholder groups. Following a short introduction from the facilitators, participants will participants will share some of their own real-life examples of the challenges of engaging different user communities with PID-enabled systems. Participants will then work in small groups to develop stakeholder personas representing actors from different communities within the research ecosystem, such as researchers, repository managers, research administrators, infrastructure developers, and policymakers. Using a structured template, which takes into account factors such as career stage, discipline, organization type, and more, the groups will identify each persona’s goals, motivations, barriers to PID adoption, and the messages that might resonate most strongly with them. The workshop will conclude with a short reflection session where groups share insights and compare strategies across personas and regions. We hope that the outputs from this workshop will contribute to a collaborative effort to develop practical guidance for designing inclusive and effective PID engagement strategies across the global research ecosystem. PUBLIC CONFIRMED Workshop https://pretalx.surf.nl/pidfest-26-2026/talk/XET3E7/ LUMC01 Suze Kundu Alice Meadows PUBLISH BBEZWU@@pretalx.surf.nl -BBEZWU From Isolation to Integration: Building a PID Culture in Emerging NRENs en en 20261028T124000 20261028T131000 003000 From Isolation to Integration: Building a PID Culture in Emerging NRENs Is your research ecosystem generating theses, datasets, and publications that remain disconnected from global scholarly networks? In many emerging and underrepresented research communities, knowledge production is not the problem — visibility and integration are. Research outputs often lack Digital Object Identifiers (DOIs), researcher identifiers such as ORCID, institutional identifiers, and interoperable repository frameworks. As a result, valuable scholarship remains difficult to discover, cite, measure, and trust. This session provides a practical roadmap for building a PID culture within an emerging National Research and Education Network (NREN). You will explore how to move from fragmented, institution-specific outputs to a coordinated national approach that aligns with global PID infrastructures. Through real-world implementation experience, you will gain insight into how to: Introduce PIDs through phased and context-sensitive adoption strategies Build institutional buy-in without overwhelming universities and research centers Align repository development with international PID standards Establish governance and policy frameworks that support sustainability Position your NREN as a national coordinator and trusted connector in the global PID landscape You will also examine the barriers that frequently slow PID adoption — including limited funding, policy gaps, low awareness, and technical capacity constraints — and identify practical solutions that work in resource-constrained environments. Importantly, you will discover how PIDs do more than improve metadata quality. They strengthen research integrity, increase international collaboration opportunities, enhance citation visibility, and support evidence-based policy making. By embedding persistent identifiers into repository strategies and institutional workflows, you can transform a national research system from locally siloed outputs into a globally connected knowledge network. This session is designed for NREN leaders, repository managers, research policymakers, librarians, and infrastructure providers who want to strengthen research visibility and long-term sustainability in emerging contexts. If your goal is to move from isolation to integration — and from invisible outputs to measurable impact — this session will provide strategic clarity and practical tools to help you begin that transformation. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/BBEZWU/ LUMC01 Hussein Sabrie PUBLISH G9QJGU@@pretalx.surf.nl -G9QJGU How ARKs quietly grew to 15 billion PIDs at 1800 institutions en en 20261028T141500 20261028T151500 010000 How ARKs quietly grew to 15 billion PIDs at 1800 institutions In this session, learn how your institution can begin creating ARKs in 48 hours. ARK metadata is very flexible -- from none to anything; for example, many return metadata using the DataCite profile. Learn how there is no registration requirement for individual ARKs and how they mesh perfectly with the IIIF images. If yours is a mature institution that already has permalinks, you will find out how you can implement ARKs with just one line in a server configuration file. ARK implementers include 13 national libraries, 215 universities, 254 archives, 144 museums, 124 journals, and 59 scientific centers. Adoption is accelerating in under-resourced institutions from the global South. PUBLIC CONFIRMED Interactive Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/G9QJGU/ LUMC01 John Kunze PUBLISH ZYPBNT@@pretalx.surf.nl -ZYPBNT From National Strategy to Global Practice: RDA National PID Strategy IG Case Study Updates en en 20261028T151500 20261028T154500 003000 From National Strategy to Global Practice: RDA National PID Strategy IG Case Study Updates Have you ever wondered how people in different regions - speaking different languages - are promoting, adopting, and implementing PIDs around the world? PIDs connect everything together, which requires significant collaboration across all research sectors and stakeholders. Ultimately, local resources and policies are required for a collaborative response to PIDs, which typically takes place at the regional or national levels - even though PIDs are essentially international endeavors. Without these national or regional approaches, PIDs remain difficult to implement and scattershot in their adoption. As countries continue to develop and implement National PID Strategies at varying speeds and with varying levels of sophistication and community buy-in, this session offers an opportunity to reassess the global landscape and reflect on collective progress. In this session, you will hear a structured overview of recent developments in national PID strategies around the world, highlighting trends, challenges, and lessons learned. A particular focus will be given to three perspectives from Canada, Australia, and Czechia. We will each outline the current state of the PID strategy in our own national contexts, including policy drivers, governance structures, implementation progress, and key challenges encountered. You will learn about the barriers and issues that countries have faced when developing a strategy, and how and why some have progressed faster than others. Together, these case studies will illustrate diverse approaches to coordination, stakeholder engagement, and integration of PID services within research ecosystems. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/ZYPBNT/ LUMC01 John Aspler Siobhann McCafferty Hana Heringová PUBLISH AQLXNZ@@pretalx.surf.nl -AQLXNZ PIDs infrastructure Keeping Knowledge Connected in the AI Era en en 20261028T114000 20261028T124000 010000 PIDs infrastructure Keeping Knowledge Connected in the AI Era In the AI era, the explosive growth of science and technology resources and interdisciplinary convergence have posed unprecedented challenges to knowledge infrastructure. Ensuring that massive science and technology resources are FAIR on a global scale has become a central issue in the development of open science. As the "digital ID card" for objects, PIDs serve as the critical technical foundation for connecting fragmented knowledge and building a trustworthy research ecosystem. The CSTR Identification Platform, based on the Chinese national standard "Science and Technology Resource Identification" (CSTR), currently serves over 24 million open-access science and technology resources across 11 categories, including articles, scientific data, large research infrastructures, and species, thereby laying a solid foundation for building an open and interconnected scientific ecosystem. In the AI era, PID infrastructure faces new opportunities and challenges: On the one hand, the identification and provenance of AI-generated content, as well as the trustworthy governance of training data, enable AI to construct knowledge graphs with multiple resource types; on the other hand, the demand for deep semantic association of cross-modal resources and the pressure of real-time identification for massive dynamic objects are driving accelerated multi-dimensional innovation in PID technology. This workshop specially invites researchers from DataCite, South China National Botanical Garden, Chinese National Space Data Center and Africa PID Alliance, covering different PIDs systems and researchers from different countries, to share practical wisdom on how to leverage PIDs to achieve interconnection of diverse science and technology resources in AI scenarios, contributing to the promotion of global open integration of science and technology resources. DataCite is a global community that shares a common goal: to ensure that research outputs and resources are openly available and connected, so that their reuse can advance knowledge across and between disciplines, now and in the future.In this presentation, DataCite will focus on Building Trusted Research Infrastructure for AI-Driven Discovery and share its experience. South China National Botanical Garden has long been committed to plant diversity conservation and sustainable utilization research. In this presentation, SCNBG will focus on exploring how to utilize CSTR to build a dynamic and sustainable biodiversity knowledge network connecting science and society. Chinese National Space Data Center (NSSDC) is the only state-level data center in space science in China, promoting standardized governance, high-quality construction and open sharing of data resources in space science. At this presentation, NSSDC will share its practical experiences and perspectives on data curation practices and future outlook regarding Persistent Identifiers (PIDs). Africa PID Alliance (APA) is the part of the Open Infrastructure program of the Training Centre in Communication (TCC Africa). DOCiD is a hybrid digital object identification system led by the Africa PID Alliance. In this presentation APA will focus on Connecting African Research with Asian Open Science Infrastructure, exploring how DOCiD achieves PIDs integration with systems such as CSTR. PUBLIC CONFIRMED Workshop https://pretalx.surf.nl/pidfest-26-2026/talk/AQLXNZ/ LUMC02 Xiaolei Xia Matt Buys JIA LIU Lijuan Wang Xu Zhoufeng QI XU Joy Owango Ivo Wijnbergen PUBLISH XRGKSV@@pretalx.surf.nl -XRGKSV Preserving scientific data analysis in a fast-paced virtual research environment en en 20261028T124000 20261028T131000 003000 Preserving scientific data analysis in a fast-paced virtual research environment Authors: Claudio D’Onofrio, Ute Karstens, Zois Zogopoulos, Alex Vermeulen, Carbon Portal Team Do you find that your analyses stop working after a few months—or that reproducing someone else’s results feels impossible? In this session, you will explore a practical approach to making your research workflows reproducible, reusable, and aligned with FAIR principles. You will discover how the ICOS Carbon Portal supports researchers with collaborative tools and direct access to persistently identified datasets, ensuring your data remains findable and consistently referenced throughout your work. But reproducibility is not just about data—you also need to preserve the full analytical process. Jupyter notebooks are widely used because they combine executable code with explanations, figures, and results in a single document. This makes them ideal for documenting scientific workflows. However, you have likely experienced how quickly software environments change. Even if a notebook is preserved and assigned a persistent identifier, differences in dependencies can make it impossible to rerun and verify results later. In this session, you will learn how to overcome this challenge by capturing entire computational environments. You will see how Docker images can bundle your notebooks, source code, and all required dependencies into a portable, archived unit. These environments can then be reactivated on demand via the ICOS Jupyter Hub, allowing you—or others—to rerun analyses exactly as originally executed. After this session, you will: • Understand how to publish executable Jupyter notebooks with persistent identifiers and rich metadata • Learn how to preserve and share complete computational environments using Docker • Gain practical insights into reducing reproducibility issues caused by evolving software dependencies While no solution can fully eliminate all challenges—such as reliance on external data sources—this approach significantly lowers the barrier to sharing reproducible research. You will leave with concrete ideas you can apply to make your own workflows more transparent, reliable, and ready for long-term reuse. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/XRGKSV/ LUMC02 Claudio Donofrio PUBLISH Z99DZF@@pretalx.surf.nl -Z99DZF Funders Perspectives on PIDs en en 20261028T141500 20261028T151500 010000 Funders Perspectives on PIDs For research funders, the question is not just whether PIDs matter in the abstract — it is whether their grant data is structured well enough to be found, linked, and used. This workshop addresses that challenge directly, from the perspective of funders who are actively working through it. The session brings together two Dutch research funders (ZonMw and NWO) who have both developed PID strategies and begun implementing them in their grant systems and application portals. Topics include: - how Grant IDs are being introduced into funding workflows via Crossref; - the challenge of mapping PIDs to messy and inconsistent funder data; - -strategies to make funder APIs genuinely interoperable with external systems; - Strategies for avoiding large-scale modification of infrastructure while still implementing PIDs. A demonstration from OpenAlex will contextualize this work within the broader reporting landscape. Open research information services, such as OpenAlex, can surface connections between funders and research outputs using PIDs as a source of ground truth. They can also make inferences where PIDs are absent, using metadata scraped from available acknowledgement sections and publisher records. This raises an interesting question for funders who are considering whether to develop a PID strategy: PIDs are not always a prerequisite for outputs to appear in systems like OpenAlex, but they dramatically improve the reliability, persistence and completeness of what gets surfaced. Understanding this distinction helps funders make the case for PID adoption internally, and helps them set realistic expectations for what they will gain. The session is structured around short practitioner contributions followed by facilitated discussion. Participants are invited to share their own contexts and challenges. The aim is not to present a finished model, but to compare notes across different stages of the PID journey and identify what works and what does not. PUBLIC CONFIRMED Workshop https://pretalx.surf.nl/pidfest-26-2026/talk/Z99DZF/ LUMC02 Wim Hugo Clifford Tatum Lieke de Boer Hans de Jonge Ellen Carbo PUBLISH SRSQ8J@@pretalx.surf.nl -SRSQ8J PIDs and Funders, A Match Made in Metadata Heaven: How the Australian Research Council is using PIDs to improve research metadata. en en 20261028T151500 20261028T154500 003000 PIDs and Funders, A Match Made in Metadata Heaven: How the Australian Research Council is using PIDs to improve research metadata. Detailed Description The availability and quality of data about research is critical for funding institutions to evaluate outcomes, demonstrate impact, and justify continued investment. The Australian Research Council (ARC) recognises that even small, strategic shifts, like embedding PIDs across the research lifecycle, can deliver big benefits. By harnessing the power of PIDs, the ARC can significantly lift the accuracy, consistency, and quality of data about Australia’s research activity which can unlock clearer insights into the return on public investment into research. In this session we will unpack the following three PID related initiatives at the ARC: 1. The ARC’s PID Action Plan – this plan on a page outlines 5 key actions that the ARC is taking in response to Australia’s National PID Strategy and Implementation Road Map. 2. PIDs and Open Access – The ARC’s newly published 2026.1 update to the ARC’s Open Access Policy includes a number of key PID actions such as requiring RORs to be used in attribution, PIDs in repository metadata records, and the requirement for DOIs to be minted for all outputs funded by the ARC. 3. PIDs in research evaluation – The ARC is currently developing a Research Insights Capability (RIC) as the new research evaluation framework for Australia. In developing RIC ARC sees PIDs as essential tools for data matching across diverse datasets, output attribution, and data validation. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/SRSQ8J/ LUMC02 Lee Harris PUBLISH PSTZUF@@pretalx.surf.nl -PSTZUF RAiD in Action: Pilot Updates about PIDs for Projects from Canada, the Netherlands, and the US en en 20261028T114000 20261028T124000 010000 RAiD in Action: Pilot Updates about PIDs for Projects from Canada, the Netherlands, and the US This interactive session will highlight the progress and emerging insights from three national and regional RAiD (Research Activity Identifier) pilot initiatives led by organizations in the Netherlands, the United States, and Canada. Representatives from SURF, Lyrasis and the San Diego Supercomputer Center, and the Canadian Research Knowledge Network and the Digital Research Alliance of Canada, will provide updates on their respective pilots, offering a comparative perspective on how RAiD is being explored and implemented across different research infrastructures. Participants will learn about the current status of these RAiD service pilots, including the stakeholders and communities involved, key use cases and workflows being tested, and the technical or organizational approaches shaping each implementation. The discussion will also highlight lessons learned so far, opportunities for collaboration, and how RAiD may support improved coordination, transparency, and tracking of research activities across institutions and systems. The session will conclude with reflections on next steps for each pilot and an interactive activity where participants will brainstorm and discuss in small groups the ways that their organizations could get involved or use RAiD to support research management, infrastructure integration, and persistent identification of research activities at scale. This panel will be of interest to research infrastructure providers, research institution staff such as librarians, research administrators, or repository managers, funders, and others exploring persistent identifier ecosystems and research lifecycle integration. PUBLIC CONFIRMED Interactive Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/PSTZUF/ LUMC03 Giacomo Cannizzaro Tristan Kuehn Sheila Rabun John Aspler Christopher Erdmann Matthias Liffers PUBLISH ZJWQAV@@pretalx.surf.nl -ZJWQAV Bringing scientific instruments into the PID ecosystem en en 20261028T124000 20261028T131000 003000 Bringing scientific instruments into the PID ecosystem Scientific instruments are fundamental research assets that enable the production of scientific knowledge. Despite their central role in the research lifecycle, instruments are still largely absent from the persistent identifier (PID) ecosystem and remain weakly represented in the scholarly record. As a result, instruments are oftentimes difficult to discover, to reference, and to connect to the research outputs they generate. Strengthening the integration of scientific instruments into the PID landscape is therefore an important step towards keeping research knowledge connected across infrastructures and research entities. The service Materials Instruments addresses this gap by developing an open, community-oriented infrastructure that improves the discoverability, interoperability, and reuse of scientific instruments in materials science. The service contributes to strengthening FAIR research infrastructures by enabling structured instrument metadata, persistent identification, and connections to related research outputs. Materials Instruments is a new service of the FID Materials Science (Specialised Information Service Materials Science, https://www.materials-science.info/). The project is developed in collaboration with SLUB Dresden and TIB – Leibniz Information Centre for Science and Technology, combining expertise in research data infrastructures, metadata standards, and PID services. A key objective of the service is to integrate instrument information from different institutional and technical contexts into a unified discovery environment. The platform aims at including instrument metadata from multiple data providers such as research institutions, laboratories, and existing infrastructure catalogues. By harmonizing heterogeneous metadata and aligning them with emerging community standards such as PIDINST, Materials Instruments contributes to improving interoperability across research infrastructures and supports the integration of instruments as first-class research entities within the PID ecosystem. Persistent identifiers play a central role in this effort. The planned assignment of DOIs to instrument records will enable persistent referencing and citation of scientific instruments and support cross-linking between instruments, publications, datasets, and research institutions. This strengthens connections between research infrastructure and scholarly outputs and contributes to a more comprehensive and interconnected scholarly record. In this talk, we present practical implementation steps from the development of the service, including metadata aggregation from heterogeneous sources, alignment with PID infrastructures, and approaches for linking instruments with other research entities across institutional boundaries. We will also discuss lessons learned from the early development phase, including challenges related to metadata quality, licensing and openness requirements, governance questions, and community adoption. By sharing our experiences, we aim to contribute to the broader PID community discussion on how additional research entities - such as scientific instruments - can be sustainably integrated into the PID ecosystem. Our work highlights the importance of cross-infrastructure collaboration, community engagement, and interoperable metadata practices for advancing PID adoption and for keeping knowledge connected across the research landscape. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/ZJWQAV/ LUMC03 Christian Hauschke Christiane Schmidt Amin Keshavarzi PUBLISH FYGGCC@@pretalx.surf.nl -FYGGCC DOCiD as a Federated PID Container for Open Research Infrastructure: Operationalizing Interoperability Across Regions and Indigenous Knowledge Communities en en 20261028T141500 20261028T151500 010000 DOCiD as a Federated PID Container for Open Research Infrastructure: Operationalizing Interoperability Across Regions and Indigenous Knowledge Communities Despite their increasing adoption and technical maturity, many Persistent Identifier (PID) systems still operate as independent infrastructures rather than as integrated components within a structured digital object environment. Systems that identify researchers, institutions, research outputs, grants, and projects—while individually robust—often function in parallel with limited interoperability. As a result, the full potential of PIDs to support machine-actionable research ecosystems, transparent attribution, and trusted scholarly communication remains only partially realized. Without mechanisms to connect these identifiers into coherent digital objects, relationships between researchers, institutions, outputs, and funding sources remain fragmented across disconnected systems. The Digital Object Container Identifier (DOCiD), is a PID developed by the Africa PID Alliance, addresses this challenge by operationalizing the FAIR Digital Object (FDO) framework within a federated infrastructure model. DOCiD functions as a structured digital container that aggregates multiple PID types into a unified, machine-actionable research object. Rather than acting as a standalone identifier, DOCiD provides a framework through which identities, institutions, datasets, publications, research projects, and infrastructure can be linked within a single governed structure. Through this containerized approach, DOCiD transforms fragmented identifiers into coherent digital objects that are discoverable, interoperable, and reusable. At the core of this architecture are typed relationships and governance metadata that define how different PIDs interact within the container. By establishing explicit connections between entities—such as researchers, institutions, funding sources, research outputs, and infrastructure—DOCiD creates a structured network of relationships that machines can interpret and process. This capability improves discovery, supports advanced analytics, and enables more reliable knowledge exchange across research systems. In doing so, DOCiD strengthens Open Science practices, facilitates cross-border collaboration, and promotes more equitable participation in global research infrastructures. An important innovation of DOCiD is its ability to bridge globally recognized PIDs with locally governed identifiers. In many countries, particularly across Africa and other emerging research regions, national identification numbers and other locally assigned identifiers are widely used within administrative and research systems but remain disconnected from global scholarly infrastructure. Within the DOCiD architecture, these local identifiers—including national IDs—can be securely referenced and mapped to global PIDs. This mapping enables interoperability between local and international systems while respecting national data governance policies, identity sovereignty, and privacy protections. DOCiD also supports the stewardship of Indigenous Knowledge (IK) and Cultural Heritage (CH), where provenance tracking, ethical governance, and community attribution are essential. By structuring these resources within a governed digital object container and aligning with both FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) principles, DOCiD enables interoperable, trusted, infrastructures that safeguard the provenance, rights, and ethical stewardship of Indigenous Knowledge and Cultural Heritage systems. PUBLIC CONFIRMED Interactive Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/FYGGCC/ LUMC03 Joy Owango PUBLISH EGGALG@@pretalx.surf.nl -EGGALG Why Self‑Addressing Identifiers Matter - and How You Can Use Them en en 20261028T151500 20261028T154500 003000 Why Self‑Addressing Identifiers Matter - and How You Can Use Them Do you ever wonder how to ensure a piece of metadata is exactly what it claims to be, regardless of who created it or where it goes? Do you want an identifier you can mint yourself—one that anyone else can independently verify? In this session, you’ll learn why Self Addressing Identifiers (SAIDs) are valuable for structured data, metadata, and decentralized systems. SAIDs offer a simple, reliable way to confirm an object’s integrity by comparing it directly to its identifier, without relying on a central authority. A SAID is created by hashing the content and embedding the result back into the object using a defined algorithm. Because the identifier is mathematically tied to the content, anyone can generate and verify one. If the content changes, the SAID changes, providing a built‑in integrity check that remains reliable across systems and environments. You’ll also explore how SAIDs fit into today’s identifier landscape. Centralized identifiers like DOIs provide managed resolution and guaranteed uniqueness, but they rely on a governing authority. SAIDs complement these systems by offering a decentralized, content‑based identifier you can generate instantly. They don’t replace traditional identifiers; they enhance workflows where independent verification matters. To make this concrete, you’ll examine how SAIDs are used at Agri‑Food Data Canada (ADC). ADC’s Semantic Engine includes a schema‑writing tool that generates SAIDs for every schema version. Through the schema composer interface, researchers describe their data, and the system produces a machine‑readable schema containing SAIDs. Each schema carries its own integrity proof, allowing immediate verification with no registry lookup. This showcases how SAIDs enable decentralized, standards‑based metadata practices. The session also covers the newly registered urn:said namespace at IANA, which provides an official, interoperable way to reference SAIDs across systems. This makes them easier to adopt within existing infrastructures and ensures they coexist cleanly with DOIs and other established identifiers. By the end of the session, you’ll understand what SAIDs are and how to begin using them—through ADC’s tools or publicly available code for generating SAIDs yourself. After this session, you will: * Learn how to create self‑addressing identifiers, how they work, and the benefits and trade‑offs of using them. * Learn how to incorporate SAIDs into infrastructure, including referencing them via the new urn:said namespace at IANA. * Learn how ADC is embedding SAIDs into its infrastructure and how similar approaches can strengthen your own data and metadata systems. Join this session to see how self‑addressing identifiers can make your metadata—and your work—more trustworthy and easier to verify. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/EGGALG/ LUMC03 Carly Huitema PUBLISH 7DWCTC@@pretalx.surf.nl -7DWCTC Beyond PIDs – addressing challenges in metadata completeness en en 20261028T114000 20261028T124000 010000 Beyond PIDs – addressing challenges in metadata completeness As the understanding of PIDs has grown – the community – institutions, funders, policy-makers – are looking beyond the identifiers, to realise their systemic value. Part of this value lies in the metadata associated with the identified objects and the way these link to each other. The possibilities to make connections between entities across the system, especially where information about the relationships is included and open, promise opportunities for greater insights, evaluation and so - more strategic decisions and better informed policy. In this session, speakers will briefly report recent developments regarding improving metadata capture and availability at the point of PID registration, and provide recommendations for action for publishers, funders and institutions. This will be followed by a semi-structured discussion with participants, aimed at exploring and reflecting on implementation opportunities. We seek to co-create actionable pathways for sharing rich, open metadata with the community. In this session, we wish to explore how realistic these approaches are in the view of PIDFest participants. will discuss Crossref activities to enable rich metadata registration among its 25,000 members and the process of community-led metadata development. Bianca Kramer, Executive Director of the Barcelona Declaration on Open Research Information, will talk about policy discussions about adoption of mandates for open research information disclosure, including use of PIDs. Hans de Jonge, Director of Open Science NL (Dutch Research Council) and co-coordinator of the Barcelona Declaration working group on funding metadata, will talk about the action plan on improving the availability of funding metadata developed by the participants of the Funding Metadata Roundtable last October and progress that has been made since. Ludo Waltman, Scientific Director and Professor of Quantitative Science Studies at the Centre for Science and Technology Studies (CWTS), Leiden University, will talk about prioritising the availability of open publication metadata in negotiations between libraries and publishers. Ludo will discuss the ongoing efforts made by a joint task force of the Barcelona Declaration and OA2020, of which Ludo is one of the coordinators. PIDs such as DOIs, ORCIDs and ROR IDs play a crucial role in these efforts. The discussion that follows will be guided by three key questions: 1. What actions can publishers, funders, institutions and libraries take to improve metadata capture and availability? 2. Where is collective action needed, and where can individual organisations take action tomorrow? 3. What is holding organisations back, and what can be done to overcome these barriers? How can the PID community contribute to this? We anticipate that, beyond the reporting phase of the session, the panellists will write up and share the discussion outcomes in a blog post. PUBLIC CONFIRMED Interactive Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/7DWCTC/ LUMC04 Ginny Hendricks Helena Cousijn Hans de Jonge PUBLISH HLJ8LL@@pretalx.surf.nl -HLJ8LL Boost Metadata Quality with the DataCite Metadata Generator en en 20261028T124000 20261028T131000 003000 Boost Metadata Quality with the DataCite Metadata Generator Do you want to create high-quality DataCite metadata without struggling through complex forms or incomplete records? Are you looking for ways to reuse and improve existing metadata efficiently? In this session, you will explore the updated version of the DataCite Metadata Generator developed at LMU Munich (University Library and IT-Gruppe Geisteswissenschaften). The tool is designed to simplify metadata creation while improving quality and interoperability across systems. You will discover how the web-based form helps you generate structured DataCite metadata that can be directly reused in publication workflows or used to enhance existing records. The new version goes beyond simple form-based input: you can upload existing metadata files in XML or JSON format, receive feedback on completeness, edit them within the tool, and download improved versions. You will also learn how the generator automatically enriches metadata by connecting to external PID systems. By integrating APIs such as ORCID and ROR, the tool retrieves additional information linked to PIDs, helping you improve consistency and reduce manual input. Another key feature is its future-proof design: the generator is built so that it can be easily updated when new DataCite schema versions are released. This ensures that your workflows remain compatible with evolving standards without requiring major redevelopment. In addition, you will hear how the tool supports flexible adoption in different institutional contexts. The source code is openly available on GitHub, allowing you to integrate the generator into your own workflows and adapt it to your needs, e.g., by extending the form with institution-specific fields. After this session, you will: • understand how to create, validate, and reuse DataCite metadata more efficiently • know how to improve metadata quality through PID integration and automated enrichment • gain insights into how you can adapt and integrate the tool into your own infrastructure This session is aimed at practitioners, repository managers, and anyone working with research metadata who wants practical solutions to improve metadata workflows and quality. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/HLJ8LL/ LUMC04 Laura Meier PUBLISH HXCQSZ@@pretalx.surf.nl -HXCQSZ From Local Resource to Global Tool: Next Steps for Canada’s PID Matrix en en 20261028T141500 20261028T151500 010000 From Local Resource to Global Tool: Next Steps for Canada’s PID Matrix Since 2021, the Canadian Research Knowledge Network (CRKN) and the Digital Research Alliance of Canada (the Alliance) have championed a collaborative national strategy for persistent identifiers (PIDs) to support the widespread adoption of PIDs across the Canadian research ecosystem. As part of this work, together with the MoreBrains Cooperative team, they developed the PID Matrix – a tool to help Canadian organizations choose the right PID for the right problem. The matrix covers nine broad categories for each PID included – from coverage to sustainability. In particular, it enables comparisons between gold standard open and public options (like ORCID and DOIs) to proprietary options that do not meet criteria associated with the principles guiding the National PID Strategy. Although it was originally developed for the Canadian research community, it quickly became clear that it could also be of value to the wider global community; this was confirmed at a well-attended unconference session at PIDfest 2024. This workshop, therefore, is an opportunity for participants from that wider community to share their thoughts on whether the PID matrix should be expanded for global use and, if so, how. After providing a brief history of why and how the matrix was developed, and an overview of the current version, the workshop facilitators will take participants through a series of exercises and interactive group work to evaluate the current iteration of the matrix. This will include the global value of the core elements, and whether any new categories or elements are needed. The group will then brainstorm next steps for making the matrix into a truly global tool, including issues like who needs to be involved in future discussions, who should “own” the global version, what format(s) it should be available in, where it should live, how it will be kept updated, whether it needs to be formally standardized, and more. PUBLIC CONFIRMED Workshop https://pretalx.surf.nl/pidfest-26-2026/talk/HXCQSZ/ LUMC04 Alice Meadows John Aspler Josh Brown PUBLISH MLB3KB@@pretalx.surf.nl -MLB3KB Community-Based Approaches to Enriching PID Metadata at Scale: The DataCite and COMET Collaboration en en 20261028T151500 20261028T154500 003000 Community-Based Approaches to Enriching PID Metadata at Scale: The DataCite and COMET Collaboration Whether you produce, maintain, analyze, or integrate DataCite DOI metadata, you have probably experienced challenges with keeping it up to date, navigating gaps and inconsistencies in metadata properties and practices, or curating metadata for specific applications. While DataCite DOIs enable connectivity and interoperability, enhancing data quality and efficiencies across systems and workflows, the metadata associated with them still requires ongoing maintenance that can only be performed by original creators or in isolated applications. What if it were possible to shift our approach to metadata improvements? What if we can generate community-produced metadata improvements and incorporate them back into PID infrastructure in a way that is trusted, transparent, scalable, and genuinely useful downstream? A collaboration between DataCite and COMET is advancing innovative technical and community-based approaches to improving PID metadata at scale, currently focused on DataCite DOIs but broadly applicable across the ecosystem, to address systemic challenges and barriers in maintaining and updating metadata, and so that efforts to curate and improve metadata can make it back into the PID records the whole community depends on. COMET coordinates community-driven metadata enrichment—developing shared methods, open benchmarks, and validated datasets that address high-priority gaps in PID metadata. DataCite is building an enrichment layer that allows these improvements to be surfaced alongside original records, with full provenance, through the same APIs and data files that downstream systems already use. If you’ve ever wished for a better way to improve DataCite metadata or PID metadata in general, this session will present a concrete path forward, showing examples of metadata enrichment processes and tools developed through the collaboration that demonstrate how to bridge enrichment work done in isolation with infrastructure that serves everyone, guided by community values and input. In this session you will get a concrete look at how community-produced metadata enrichments can flow back into authoritative PID infrastructure as transparent, provenanced assertions, without displacing original records. You will see real enrichment outputs from COMET's work and follow their journey through benchmark validation to infrastructure integration. You will get an inside look at how the DataCite enrichment layer works in practice, and have the chance to explore and give feedback on DataCite’s enrichments API. We will also discuss how provenance works in practice. Every enrichment record carries information about who produced it, by what method, and how it was evaluated. You will see what this looks like in the DataCite enrichment layer and why it matters for the systems and organizations that consume it. After this session you will understand how an enrichment roundtrip can work end-to-end; how provenance information can accompany enriched metadata records and why this matters for downstream trust; and how your organization can engage with this work. This session is relevant to anyone who produces, curates, or consumes PID metadata, particularly but not limited to DataCite—including repositories, publishers, research information managers, aggregators, and infrastructure providers. No prior knowledge of COMET or DataCite's enrichment layer is required. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/MLB3KB/ LUMC04 Maria Gould PUBLISH LNU9DY@@pretalx.surf.nl -LNU9DY Metadata, Machines, and Manual Oversight: An Inside View of ROR Curation en en 20261028T114000 20261028T124000 010000 Metadata, Machines, and Manual Oversight: An Inside View of ROR Curation Have you ever suggested an addition or update to ROR and wondered how the proposed changes got turned into an actual ROR record? Or have you wanted to suggest a change but weren’t sure how to proceed? If you’ve ever been curious to learn more about how the ROR registry is maintained, this interactive workshop will take you inside the entire process and give you a newfound appreciation for the humans, machines, and mechanisms that make it all possible. In the first part of the three-part workshop, you’ll get an orientation - or a refresher - on ROR curation basics, including how requests are made, what’s in scope for the registry, how an organization’s metadata record is structured, and the community-developed policies and principles that guide ongoing curation decisions. Next, you’ll get an inside view into how a curation request is processed, tracking how a user-submitted request is translated into a new or update record through a complex set of human and automated tasks that make sure all ROR records include complete, high-quality, multilingual metadata. Finally, you’ll have a chance to participate in the process yourself, whether through submitting an individual request, preparing a bulk submission, or being a second set of eyes on an existing request - or all of the above! In this interactive portion of the workshop, you’ll have a chance to experience how small efforts by individual community members can make a big difference when it comes to metadata preparation and validation, and you’ll come away with tips and tricks that you can use and share with others. PUBLIC CONFIRMED Interactive Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/LNU9DY/ LUMC05 Maria Gould PUBLISH KPRJHV@@pretalx.surf.nl -KPRJHV Stuck at a Meagre 52% ROR Matching Percentage? Here’s How to Boost Your Rates. en en 20261028T124000 20261028T131000 003000 Stuck at a Meagre 52% ROR Matching Percentage? Here’s How to Boost Your Rates. Matching researchers’ affiliations to a persistent identifier (PID) is an ongoing challenge for publishers. The text-based data that authors provide at submission, is often messy and ambiguous, making it difficult to standardise. To enhance data quality for analysis and reporting downstream, it is vital to match this raw affiliation data with accurate, machine-readable institutional information. Many publishers turn to the ROR (Research Organization Registry) API for this purpose. However, relying solely on this tool typically yields a matching percentage of just 52% to 57%, if one restricts oneself to reliable outcomes. Whilst we greatly appreciate and make extensive use of the ROR API, its limitations are evident. In this session, you will discover further possibilities for matching text-based affiliation to ROR IDs. This is based on concrete experiences from a project carried out at a medium-sized German science and medical publisher. We shall share our analysis of the dataset as the initial state, intermediate steps with considerations, lessons learnt, and, of course, the final state. Among other things, we shall demonstrate why we do not surpass 85% in this specific case. As further possibilities for matching, we discuss: • Human Intelligence Tasks (HITs): When automated software cannot find a definitive match, human experts manually review and match affiliation texts to suggested ROR IDs. This process also generates high-quality training data, which is essential for continually improving machine learning models for future automated matching. • Machine Learning (ML): Employing techniques such as Machine Translation (MT) for language conversion and Natural Language Processing (NLP) to extract institution names from affiliation texts, in combination with ML algorithms learning from HITs, will continually improve matching rates over time. • Vector Search: Moving beyond basic ROR API searches, we embed the ROR dataset as vectors and use advanced vector search applications to efficiently compare and match new affiliation texts. This approach builds on our extensive collection of previously matched affiliation texts, resulting in superior speed, stability, and accuracy. An intriguing question to which we ourselves do not yet have an answer: will artificial intelligence ultimately remove the necessity for a human in the loop? This question could provide direction for a subsequent Q&A. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/KPRJHV/ LUMC05 Ivo Verbeek PUBLISH 8LSV3L@@pretalx.surf.nl -8LSV3L The How’s and Why’s of PIDs for instruments en en 20261028T141500 20261028T151500 010000 The How’s and Why’s of PIDs for instruments Introduction Short introduction on instrument PIDs and their benefits. Part One: : Overview of the PIDINST metadata schema and the ongoing work The RDA PIDINST Working Group in developing the maintaining the schema; Introduction to the WG; Overview of the PIDINST Schema and plans for development Part Two: Adoption of instrument identification in practice in Research Performing Organisations Overview of infrastructures that support adoption and use of PIDINST Infrastructures that enable implementation and adoption of the PIDINST schema, Examples of applications of PIDINST in practice – including perceived benefits and issues encountered. Dutch Instrument identification white paper which was prepared following the FAIR4Instruments Workshop that took place in Utrecht in February, 2026, including community view on the stakeholder-specific benefits and requirements for successful instrument identification. Part Three: Structured discussion groups (example discussion points) Technical implementation and development of instrument identification (esp. PIDINST) How did you learn about pidinst? Are you interested in adopting and if so what is your use case? What workflows Do you want PIDINST to support? How do you see PIDINST fitting into the broader PID universe? Societal and organisational implementation Are the Dutch experiences and recommendations applicable in your case? What strategies are best to implement organisation-wide identification of instruments? Who to talk with and how to engage them? What are the main benefits of instrument identification for different stakeholders? Its impacts on reproducibility and interoperability of data, organisational benefits, economic use of instruments, etc. Part Four: Feedback and conclusion of the workshop groups PUBLIC CONFIRMED Workshop https://pretalx.surf.nl/pidfest-26-2026/talk/8LSV3L/ LUMC05 Rory Macneil Ari Asmi Rolf Krahl PUBLISH E8P8TR@@pretalx.surf.nl -E8P8TR Boosting the impact of research infrastructures and services with PIDs. - Case: Research.fi and EOSC Finland Pilot Node en en 20261028T151500 20261028T154500 003000 Boosting the impact of research infrastructures and services with PIDs. - Case: Research.fi and EOSC Finland Pilot Node In this session you will learn about the recent efforts in Finland to compile a national landscape of research infrastructures and services for research. The aim of these efforts is to improve the utilisation of research infrastructures through their services, to predict future capacity needs for projects and to enable researchers and research organisations to better find suitable services to their needs. You will also hear about national interoperable data models for describing services for research and research infrastructures, developed in co-operation with Finnish research organisations and infrastructure experts. Both models have been aligned with the EOSC Service Catalogue Schema to support researcher’s access to digital resources on a national level via EOSC Finland Pilot Node and globally on EOSC Federation levels. These models have been taken into use in Research.fi (the national CRIS), CSC and EOSC Finland Pilot Node. Research infrastructures are defined as entities (i.e. equipment, facilities, networks, etc.) which enable research and development of technology. They typically form networked structures in which individual RIs are linked together to create larger research infrastructures. To support this and make multi-organisational updating possible a decentralised approach for information management was needed. Another necessary step was to define research infrastructure services as providing access to the research infrastructure. Research infrastructure services then become a subset of all services available for research. A key observation for keeping the data easily up to date was to specify that metadata of each research infrastructure and its services are governed by an individual research organisation. Assigning PIDs to every RI was vital insight that enabled the entire decentralised networked approach to become a reality. Implementations in Research.fi, CSC and EOSC Finland Pilot Node assign PIDs to RIs and services that lack them. You will hear about our processes to support the organisations by assigning and upkeep of persistent identifiers in a centralized manner and how persistent identifiers and machine-readable APIs keep the information up to date and enabling different use cases. All descriptive information should be maintained within organisations own systems to ensure smooth update processes for the people in charge of the RIs and services. One of the major values of our efforts so far is that we have been able to agree on data models nationally and take into consideration various use cases, different needs and perspectives. Common, interoperable data models allow to produce measurable, comparable and findable information that is usable in many different implementations. PIDs make it possible to always refer to the same entity in research outputs, projects and other research activities even though the descriptive information changes over time. This enables tracking and proving the impact of RIs and RI-services. As the use cases for RI and service information grow, distributing the metadata in a machine-readable and interoperable format enables other actors to create tailored user interfaces for different target groups and to integrate service metadata to other, organisation level or distributed service catalogues. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/E8P8TR/ LUMC05 Lassi Lager Sonja Sipponen PUBLISH VJJLCC@@pretalx.surf.nl -VJJLCC Fabulous PID Visuals en en 20261028T114000 20261028T124000 010000 Fabulous PID Visuals What are your favorite graphics or images demonstrating the value of PIDs? Have you created or found one that you love, or do you wish you knew how to create or find one? Let’s get together and share our favorite PID visuals, try generating some with AI tools or with pens and our own brain power, and explore what the ideal PID image would be. Does it communicate through metaphor, as in pictures of interconnected roads, plumbing, or natural waterways? Is it a network visualization generated from real data? Does it chart figures such as potential savings or increase in usage over time? Is it a PowerPoint slide with organizational logos on it connected by lines? In this workshop, you'll imagine, create, and share images that convey why persistent identifiers are so important, creating a public image library that everyone in the PID community can use. In the first 10 minutes of the session, you'll hear about some strategies already in use for communicating the value of PIDs through images. For the next 40 minutes, you'll engage in facilitated interactive exercises that will set the stage for discussion. First, you'll add a few sentences to a shared workspace describing what your ideal single image communicating the value of PIDs would be. Second, you'll add some of your favorite persistent identifier images, charts, graphs, slides, and GIFs: these might include images related to PIDs generally or images related to a particular PID. Third, you'll try generating your ideal PID image with the AI tool of your choice and add at least one such image to the shared workspace. Alternatively, you can draw your PID images on a flip chart and add a photograph to the shared workspace. Fourth, you'll help the group sort the images into named categories. Fifth and finally, you'll vote on your favorite images. In the last 10 minutes of the session, you'll share your thoughts in the group discussion on such topics as what characteristics the most highly rated visuals share and what image to convey the value of PIDs you might try to create in the future. PUBLIC CONFIRMED Workshop https://pretalx.surf.nl/pidfest-26-2026/talk/VJJLCC/ LUMC06 Amanda French Paul Vierkant PUBLISH HTX3YS@@pretalx.surf.nl -HTX3YS Strengthening PID connections with RAiD en en 20261028T124000 20261028T131000 003000 Strengthening PID connections with RAiD This short presentation will introduce the RAiD metadata schema and its integration with other scholarly PIDs PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/HTX3YS/ LUMC06 Tristan Kuehn Matthias Liffers Christopher Erdmann Sheila Rabun PUBLISH BXSPC3@@pretalx.surf.nl -BXSPC3 Wiring the Warning: Building a cross-domain PID graph for disaster risk reduction en en 20261028T141500 20261028T151500 010000 Wiring the Warning: Building a cross-domain PID graph for disaster risk reduction Rationale. Contemporary disasters, cascading, compounding, and cross-sectoral, demand information systems that can assemble reliable signals from dozens of sources and translate them into coordinated action within hours. Current Disaster and Emergency Management (DEM) frameworks struggle with the very characteristics that define modern crises: non-linearity, emergent behaviour, and coordination across heterogeneous actors. Information bottlenecks in disaster response, including siloed datasets, incompatible standards, and missing "last mile" connectivity, are themselves a form of structural vulnerability. The CODATA Task Group on FAIR Data for Disaster Risk Research has found that the critical gap is not data volume but the ability to locate, connect, and act on data across sectors in real time. Understanding what types of PIDs are used and the metadata they provide is a critical first step towards building a persistent, navigable, machine-actionable graph of the entities and relationships, including hazards, sensors, datasets, systems, organisations, people, and places, that constitute a data-driven disaster risk information ecosystem. PIDs are foundational to FAIR data infrastructure, but their application in disaster risk reduction has been fragmented. A PID graph for DRR would connect meteorological observation records to hydrological models, early warning systems to community-level response plans, damage assessments to reconstruction datasets, and operational actors to their mandates and capabilities, all in a machine-traversable, policy-aware form. CODATA's Cross-Domain Interoperability Framework (CDIF) will be applied as a way of framing the challenge of building a PID graph for DRR. CDIF domains of Discovery, Data Access, Controlled Vocabularies, Data Integration, and Universals (time, geography, and units of measure), will be mapped onto draft recommendations for the functional requirements of a DRR PID graph. CDIF's approach to machine-actionable access policies using ODRL is particularly relevant for the sensitive, time-critical, multi-jurisdictional data sharing that disaster response demands. Similarly, CDIF's universals profile addresses the geographic and temporal anchoring essential to any early-warning or situational-awareness system. Workshop Design 0-9: Framing the problem: the complex adaptive systems perspective on DEM (drawing on the CADEM framework) and participants' practical experience building end-to-end multi-hazard early warning systems. 10-39: Mapping the PID landscape: How are PIDs used to describe the different elements and systems in DRR? Which entities in the DRR ecosystem most urgently need PIDs or need to extend the metadata expressed through PIDs? Where are the critical gaps within the disaster management cycle (preparedness, response, recovery, reconstruction)? 40-49: Applying CDIF: How do CDIF's discovery, integration, access, and vocabulary profiles need to be extended or specialised for cross-domain DRR use cases? What does a minimal viable DRR metadata profile look like? 50-60: Governance and implementation barriers: What institutional, policy, and technical obstacles prevent a functional DRR PID graph today, and what practical first steps, including standardisation mandates, pilot implementations, and community registries, could move this forward? Session closes with a brief summary of commitments and next steps towards a community-driven agenda for building a PID graph for DRR. PUBLIC CONFIRMED Workshop https://pretalx.surf.nl/pidfest-26-2026/talk/BXSPC3/ LUMC06 Lauren Maxwell PUBLISH BYFVVB@@pretalx.surf.nl -BYFVVB Why PID Implementation Is Harder Than You Think: Lessons from a National Research Data Infrastructure en en 20261028T151500 20261028T154500 003000 Why PID Implementation Is Harder Than You Think: Lessons from a National Research Data Infrastructure Do you sometimes feel like the adoption of persistent identifiers (PIDs) should be easier than it actually is? You are not alone. In this session, you will learn what it really takes to embed persistent identifiers across a large, heterogeneous research infrastructure – Germany's National Research Data Infrastructure (NFDI), spanning dozens of consortia, disciplines, and institutions. PIDs are widely recognised as a key enabler for Findable, Accessible, Interoperable, and Reusable (FAIR) research data management. But between that recognition and actual adoption lies a significant implementation gap: administrative and procedural hurdles, domain-specific vocabularies that make cross-community communication genuinely difficult, fragmented technical systems, and a persistent mismatch between the attention given to emerging topics and the foundational groundwork that still needs to be done. This experience is shared by many practitioners, but is rarely the focus of conference presentations. This session draws on concrete tasks and materials – training resources, documentation, and community outreach – to show where the friction lies and evaluates the effectiveness of various strategic approaches. A highlight of the presentation features an unexpected success story: a case where targeted intervention, strategic connections, and timely knowledge transfer propelled a use-case partner over a critical hurdle against all odds. Not all efforts have that outcome, and not all stakeholders are receptive. After this session, you will: • recognise the most common structural and cultural barriers to PID adoption in complex multi-stakeholder environments; • have a more realistic picture of what PID adoption timelines can look like, as well as the impact that targeted interventions can have. • understand why frustration tolerance is, genuinely, a project competency in this work. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/BYFVVB/ LUMC06 Torsten Kahlert Paul Vierkant PUBLISH FSFCE8@@pretalx.surf.nl -FSFCE8 Tackling PID Adoption Barriers: The German Roadmap Approach en en 20261029T110000 20261029T113000 003000 Tackling PID Adoption Barriers: The German Roadmap Approach Are fragmented infrastructures, manual metadata workflows, and unclear responsibilities for persistent identifiers (PIDs) hindering the adoption of PIDs across the research community? These challenges are widespread in the German research landscape and that is what the German PID Roadmap aims to address. The roadmap was developed as part of the German Research Foundation DFG-funded project “PID Network Germany” (2023–2026) and offers a coordinated national approach to embedding PIDs throughout the entire research cycle. The goal is not limited to assigning PIDs to publications or researchers. Instead, a comprehensive PID-landscape serves to uniquely identify and systematically link various entities such as datasets, software, instruments, samples, projects, organizations, and cultural assets. Only through these structured connections can research outputs become fully visible, reusable, and machine-actionable. The roadmap is grounded in extensive empirical work. A nationwide survey of scientific and cultural institutions assessed PID adoption, needs, and barriers. Thematic workshops explored use cases of PID implementation, ranging from research data and software to cultural heritage and research information systems. Interviews with PID providers and infrastructure initiatives complemented the analysis. In addition, the national PID Monitor offers a systematic way to track PID usage and entity coverage, ensuring full transparency across the research landscape. Pilot implementations tested metadata guidelines and workflow integration in real institutional settings. These findings identify exactly where to refine structural and technical frameworks to unlock the full power of PIDs and high-quality metadata. The roadmap translates these insights into three strategic fields of action: (1) Strengthening technical infrastructure and interoperability. (2) Establishing governance and policy alignment. (3) Building competencies and coordinated support structures. The draft roadmap was followed by a public comment period and shared with different stakeholders to gather feedback, strengthen relevance, and ensure broad community acceptance. It guides organizations, libraries, infrastructure providers, and funders in creating a coordinated, sustainable PID ecosystem. By attending this presentation, you will gain a structured overview of the German PID landscape, understand the systemic barriers that hinder sustainable adoption, and discover concrete starting points for coordinated national development to PID implementation. You will also see how combining community engagement with qualitative and quantitative evidence creates a robust foundation for policy decisions. Most importantly, you will learn how a national roadmap can be used to transform PIDs from isolated technical tools into strategic infrastructure that strengthen transparency, interoperability, and trust in research. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/FSFCE8/ Naturalis 01 Steffi Genderjahn Antonia Schrader PUBLISH BVKDZZ@@pretalx.surf.nl -BVKDZZ Challenges to PID Adoption in Africa for OS: Insights from Ghanaian Higher Education Institutions en en 20261029T113000 20261029T120000 003000 Challenges to PID Adoption in Africa for OS: Insights from Ghanaian Higher Education Institutions Struggling to implement Persistent Identifiers (PIDs) effectively in your institution or unsure how to overcome adoption barriers in resource-constrained settings? In this session, you will discover practical insights from Ghanaian Higher Education Institutions (HEI) and learn how real challenges are being addressed to keep knowledge connected. You will explore why issues like limited awareness, fragmented systems and policies, and funding constraints continue to slow PID adoption—and how these barriers affect research visibility and collaboration. Through grounded examples, you will also see how libraries via LIBSENSE - Library Support for Embedded NREN Services and E-infrastructure, Open Science enthusiasts, and researcher-led efforts are creating workable solutions. After this session, you will: • Understand the key institutional and systemic barriers to PID adoption in African contexts • Identify practical strategies to improve PID integration and interoperability • Gain ideas for building sustainable, collaborative approaches to strengthen open science infrastructure If you are looking for actionable lessons beyond theory, this session offers clear, relevant takeaways you can apply immediately. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/BVKDZZ/ Naturalis 01 AMY PASCALIA ABRA ASIMAH Dominic Agyei Dankwah PUBLISH TBXAYH@@pretalx.surf.nl -TBXAYH From Silos to Ecosystems: Connecting Digital Objects with Common PIDs to Improve Discoverability Across Generalist Repositories en en 20261029T120000 20261029T123000 003000 From Silos to Ecosystems: Connecting Digital Objects with Common PIDs to Improve Discoverability Across Generalist Repositories Across the global research landscape, keeping knowledge connected requires robust, common standards across platforms. The US National Institutes of Health (NIH) Generalist Repository Ecosystem Initiative (GREI) represents a unique "coopetition" model, bringing together seven established generalist repositories (Dataverse, Dryad, Figshare, Mendeley Data, Open Science Framework, Vivli, and Zenodo) to enhance data repository infrastructure support for improved NIH data sharing and reuse. A key component of this initiative is the development and implementation of common metadata standards including the use of PIDs to improve interoperability, discovery, and long‑term stewardship of research outputs. This presentation will detail GREI’s collaborative journey to implement common Persistent Identifiers (PIDs) including DataCite Digital Object Identifiers (DOIs) for datasets, ORCID iDs for researchers, and Research Organization Registry (ROR) IDs for author affiliations and funders across the GREI repositories. We will explore how establishing common metadata recommendations that include best practices for PID implementation across traditionally competitive repositories eliminates data silos and directly supports the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. Attendees will learn about the practical challenges involved in aligning diverse repository architectures to support standardized PID capture, validation, and display. This presentation will highlight specific use cases and examples of PID implementation at GREI repositories, including: * How GREI established consistent ROR implementation practices across repositories in partnership with ROR to support tracking of research outputs by both funding source and author affiliation. * How optimized ORCID integration for author and co-author identification reliably connects researchers to their datasets, strengthening attribution and enabling more complete researcher profiles. * How DOIs function as the critical connection for data citation, linking datasets to corresponding publications and funding and allowing for robust assessment for both impact and compliance. Furthermore, we will also highlight partnerships, outcomes, and future directions for PID adoption within the GREI repositories, including: * Our partnership with the NLM dataset catalog, which allows NIH to harvest GREI repository metadata and provide a cross-repository catalog of NIH-funded datasets. * DataCite’s GREI dashboards, which leverage ROR IDs in GREI repository metadata to track datasets by funding source within the NIH. * Ongoing efforts to strengthen PID implementation at each repository, encourage PID use by researchers, and re-curate legacy metadata to improve PID quality and completeness. In addition, we will share recent GREI resources including metadata recommendations and approaches for measuring metadata completeness and improving metadata quality. Audience poll questions throughout the session in addition to the Q&A discussion will allow participants to share experiences and perspectives and provide feedback on future GREI work. By sharing both our successes and the lessons learned in navigating repository infrastructure barriers, this session will provide research infrastructure providers, repository managers, researchers, and librarians with actionable strategies for embedding PIDs in their research workflows and building stronger, more connected data ecosystems. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/TBXAYH/ Naturalis 01 Ana Van Gulick Kristi Holmes John Chodacki Matt Buys Audrey Hamelers PUBLISH UHVJLC@@pretalx.surf.nl -UHVJLC The PID Stop - reflect, recharge, replay en en 20261029T135000 20261029T143000 004000 The PID Stop - reflect, recharge, replay From metadata to memes, governance to global collaboration, Suze’s closing keynote will celebrate the people, conversations, and connections that keep knowledge connected. PUBLIC CONFIRMED Keynote https://pretalx.surf.nl/pidfest-26-2026/talk/UHVJLC/ Naturalis 01 Suze Kundu PUBLISH HFMU7D@@pretalx.surf.nl -HFMU7D Understanding research collaborations by leveraging persistent identifier (PID) graphs en en 20261029T110000 20261029T113000 003000 Understanding research collaborations by leveraging persistent identifier (PID) graphs Are you looking for effective ways to demonstrate the impact of your research or seeking stakeholder support to strengthen your funding applications? Have you wondered how researchers at your institution collaborate with their peers and how far is the reach of that collaboration? If these are questions you have thought about, then this is the presentation for you. PID graph draws on connections between different scholarly entities (people, places, research outputs etc) to establish relationships between them thus enabling FAIR (Findable, Accessible, Interoperable, reusable) data principles across the research ecosystem. In 2022, Lyrasis (US ORCID consortium lead) along with researchers from Drexel University, created a set of data visualisation resources based on publicly available data from ORCID records and Crossref DOI publication metadata. These resources are publicly available and allow users to collect, analyse and visualise data in different ways. Recently, Lyrasis and CRKN (Canadian ORCID & Datacite consortium lead) have been working together to expand the reach and scope of these resources by incorporating Datacite DOIs, thus broadening the ability to visualise and track research outputs and collaboration networks nationally and internationally. In this session, you will gain a better understanding of the relationships between different PIDs and how they can be leveraged to gain insights into research activity. You will also gain a practical knowledge on how to use publicly available tools to collect PIDs and visualise collaboration activity. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/HFMU7D/ Naturalis 02 Melroy Almeida Kaela Ramhit Nikolas Lamarre John Aspler PUBLISH TVNG9T@@pretalx.surf.nl -TVNG9T IGSN: Persistently Identifying Physical Samples and Collections Across Domains en en 20261029T113000 20261029T120000 003000 IGSN: Persistently Identifying Physical Samples and Collections Across Domains The IGSN started as the International Geo Sample Number more than 20 years ago intended to provide globally unique identification for physical samples. It evolved into a persistent, resolvable, persistent identifier with a global governance via the IGSN e.V., a non-profit organisation that was founded in 2011 to manage the global allocation and registration of IGSNs. Over the past 15 years, the uptake of the IGSN and growth of the user community have exceeded the original geoscience community. As of February 2026, the number of IGSNs had reached 14,896,542, making it the third largest resourceType within DataCite. Since 2011, there have been two significant changes. Firstly, in September 2021, the IGSN e.V. and DataCite formed a strategic partnership with DataCite providing the IGSN ID registration services and supporting technology to ensure the sustainability of IGSN. Secondly, in 2022, the IGSN was rebranded as the International Generic Sample Number to reflect its adoption by communities beyond the geosciences (such as archaeology, environmental sciences, and materials science). Ongoing improvements of the IGSN ecosystem currently focus on: 1) Making IGSNs part of the global PID Graph: The IGSN was launched in 2011, just after DataCite in 2009, whilst ORCiD came in 2012 and ROR in 2019. IGSN also commenced well before the publication of the FAIR principles in 2016, and the requirements for richer metadata that are enhanced with other identifiers. Several IGSN e.V. members are now revisiting their IGSN metadata schema to include options from the DataCite Metadata Schema, specifically PIDs like ORCID, ROR, funders' IDs, and related references, as well as more controlled, linked-data vocabularies for more metadata properties to make sample descriptions more machine-readable. The IGSN metadata schema will always be complementary to the DataCite schema, because of their different purposes (basic discovery and citability for DataCite, detailed sample description for IGSN). 2) Mapping of the IGSN to concepts in higher-level Standards and Ontologies: Some IGSN e.V members are trying to map IGSN concepts to concepts instandards such as ISO 19156:2023 Edition ISO Geographic information — Observations, measurements and samples (https://www.iso.org/standard/82463.html); OGC Abstract Specification Topic 20: Observations, measurements and samples (Scheildt, K., & Rinne, I. (2023) https://docs.ogc.org/as/20-082r4/20-082r4.html) and the Semantic Sensor Network Ontology. W3C Editor’s Draft 14 August 2025. https://w3c.github.io/sdw-sosa-ssn/ssn/ (Cox, S.J.D, Lefrançois, M., & Janowicz, K., 2024). By identifying the higher-level concepts, multiple vocabularies relevant to many individual domains can be used for each concept, which, in turn, facilitates interoperability. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/TVNG9T/ Naturalis 02 Kerstin Lehnert Jens Klump PUBLISH JP7PCW@@pretalx.surf.nl -JP7PCW Introducing IGSN at 4TU.ResearchData: Connecting Physical Samples and Digital Research en en 20261029T120000 20261029T123000 003000 Introducing IGSN at 4TU.ResearchData: Connecting Physical Samples and Digital Research 4TU.ResearchData is a trusted digital repository for publishing and preserving FAIR data and software, focusing on the domain of the natural and engineering sciences (NES). As part of our ongoing commitment to support researchers in the NES domain, we see the identification, citation, and discovery of physical samples as a natural extension of our existing services. This makes the integration of persistent identifiers for samples a complementary and timely development within 4TU.ResearchData. This presentation introduces the implementation of the International Generic Sample Number (IGSN) at 4TU.ResearchData and explores how persistent identifiers can transform the way physical samples are managed, shared, and connected to digital research outputs. We begin by outlining why IGSN matters: the growing importance of persistent identifiers for physical samples, their alignment with FAIR and open science principles, and the benefits they bring to researchers, institutions, and data infrastructures. The session then provides an overview of how 4TU.ResearchData is integrating IGSN into its services, including metadata requirements, workflows, and collaboration with IGSN e.V./DataCite and community standards. Real‑world use cases from geosciences, environmental sciences, engineering, and materials research will illustrate how researchers can register and manage IGSNs and link samples to datasets, publications, and other persistent identifiers such as DOIs, ORCID iDs, and RORs. The presentation concludes by looking ahead to the roadmap for full service rollout, opportunities for collaboration and co‑development, and plans to ensure long‑term sustainability. This session is relevant for research data professionals, infrastructure providers, and researchers working with physical samples, as well as anyone interested in persistent identifiers, FAIR data, and interoperable research workflows. You will leave with practical insights into implementing IGSN within a national data repository and how this development strengthens the broader research ecosystem. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/JP7PCW/ Naturalis 02 Madeleine de Smaele PUBLISH XGV7UR@@pretalx.surf.nl -XGV7UR Embedding RRIDs Across the Research Lifecycle: From Preprints to Published Articles en en 20261029T110000 20261029T113000 003000 Embedding RRIDs Across the Research Lifecycle: From Preprints to Published Articles Do you struggle to identify which antibodies, cell lines, or tools were actually used in a study, and whether that information survives into the final publication? In this session, you will discover how persistent identifiers can be embedded early in the research lifecycle and tracked across versions of record. You will see how automated Key Resource Tables (KRTs) integrate with bioRxiv to detect research resources in preprints and link them to Research Resource Identifiers (RRIDs). When identifiers are missing, authors receive suggestions, lowering the barrier to adoption while improving reporting quality. The result is a structured, machine-readable representation of key resources at the earliest stage of dissemination. You will also learn how these identifiers propagate beyond preprints. RRIDs extracted from bioRxiv are now available at the article level in Europe PMC, demonstrating how early-stage PID integration contributes to discovery and interoperability across platforms. Going a step further, you will explore how RRIDs behave across the transition from preprint to journal article. By comparing versions of the same work, you will see where identifiers are preserved, added, or lost - offering new insight into how editorial processes, author behavior, and tooling influence PID quality over time. In this session, you will: - Learn how RRIDs can be embedded automatically into preprint workflows - Understand how structured resource tables improve reproducibility and machine-readability - See how identifiers propagate into Europe PMC and the broader PID ecosystem - Explore how RRIDs evolve between preprints and published articles Based on analyses of thousands of preprints and linked journal articles, you will gain practical insight into how to improve PID adoption and persistence across the research lifecycle. All code and extracted data are openly available (MIT and CC0), supporting reuse and integration across the PID community. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/XGV7UR/ LUMC01 Martijn Roelandse PUBLISH AQVEBC@@pretalx.surf.nl -AQVEBC From Text to Trust: Using PIDs in Open Government Data en en 20261029T113000 20261029T120000 003000 From Text to Trust: Using PIDs in Open Government Data This session examines how persistent identifiers (PIDs) are used to improve the quality, interoperability, and long-term usability of open government data in Germany. It focuses on a collaboration between the German National Library (DNB) and the national open data portal GovData, which promotes usage of the integrated authority file - Gemeinsame Normdatei (GND) - into public sector metadata workflows. Open government data is frequently limited by inconsistent and ambiguous metadata, particularly in free-text fields such as publisher or organizational names. Variations in spelling, abbreviations, and naming conventions reduce discoverability and hinder reuse. This session addresses the problem by demonstrating how the use of stable identifiers, specifically GND URIs, enables the transformation of heterogeneous metadata into structured, machine-readable Linked Open Data. The presentation provides an overview of the conceptual and technical approach taken in this collaboration. It outlines how authority data from the library domain can be applied to administrative datasets, including the mapping of public sector entities to existing authority records and the handling of cases where identifiers are missing or incomplete. The session also discusses the integration of PID-based workflows into existing data infrastructures and publication processes. Aside from technical aspects, the session focuses and highlights organizational and cultural challenges encountered during the collaboration. Differences in terminology, data practices, and professional perspectives between library and government stakeholders required alignment and iterative coordination. The presentation reflects on these experiences, identifying key factors that enabled progress as well as common pitfalls that affected implementation. The session contributes to ongoing discussions on Linked Open Data and cross-sector interoperability by providing a concrete, replicable use case. It demonstrates how established authority systems can be reused beyond their original domain and how cooperation between institutions can support more consistent and reliable metadata practices. Also, how a transfer of knowledge between domains increases efficiency and provides benefits on all sides. Participants will gain a clear understanding of the existing limitations of free-text metadata in open data portals and the benefits of adopting PID-based approaches. They will also learn about practical steps for integrating authority identifiers into their own systems, focusing on considerations for governance, data modeling, and workflow design. The session is relevant, among others, for professionals working with open data, metadata management, digital libraries, and public sector, by offering actionable insights for improving reliability and data interoperability across domains. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/AQVEBC/ LUMC01 Matthias Grönewald PUBLISH 7XWDH7@@pretalx.surf.nl -7XWDH7 How Perseverance shapes Persistence – The ConfIDent Story en en 20261029T110000 20261029T113000 003000 How Perseverance shapes Persistence – The ConfIDent Story Amid a heated public debate on trust in science - sparked by scandals involving fake journals and conferences – we submitted a funding proposal in 2018 to help address these concerns by building a reliable infrastructure. Our aim was to create a registry for academic events that would provide permanent access to metadata for conferences, workshops, and other scholarly formats. By assigning DOIs, these events would become clearly identifiable, citable, linkable, and easily discoverable. Even before the public debate emerged, a working group had formed with representatives from scientific publishers, PID providers, and infrastructure organizations. The group developed a draft metadata schema for describing academic events and minting DOIs. We actively contributed to this effort and, in light of the scandals, advocated for establishing a trusted event registry built on persistent identifiers and high-quality metadata to strengthen transparency and trust in the scholarly ecosystem. The resulting project, ConfIDent, started in 2020, when in parallel the COVID-19 pandemic caused widespread disruptions to academic events: Conferences were canceled, postponed, or rapidly moved online. These shifts exposed gaps in existing event documentation and directly informed our metadata design. It highlights the urgency of systematically documenting academic events so that these information remain findable, distinguishable, and transparent over time, when crucial metadata for identification as time and location change. As the technical foundation for our registry, we initially selected a software solution already in use for other projects at our organization. It promised to combine reliable documentation with an open wiki approach, allowing conference communities to contribute metadata early in the event lifecycle. However, during implementation, we discovered that the platform lacked key components for our needs, suffered from limited usability, and required specialized development expertise that was difficult to find. Interoperability was initially limited, and our reliance on manual data entry slowed database growth, hindered community adoption, and delayed overall project progress—challenges that persisted until the initial funding period ended. As a result, the registry and its services had not yet reached the maturity needed to secure additional funding. We had reached a critical juncture, having invested substantial resources without yet achieving the maturity required for the service to develop sustainably. Despite the prolonged pause in technical development, we remained committed to the development of ConfIDent, maintaining close contact with communities that emphasized the registry’s value for the scholarly infrastructure landscape and kept us motivated. Building on these insights, lessons learned from previous setbacks, and the expertise of our now highly experienced data curation team, we are preparing a technical relaunch. Version 2 will deliver a more robust technical infrastructure, addressing interoperability and usability challenges while fostering community engagement to ensure the service is accessible, relevant, and sustainable within the scholarly ecosystem. Although the use of DOIs for academic events is not yet widespread, it offers significant benefits to the research community and requires continued commitment, supported by reliable infrastructure, to achieve broad-scale adoption. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/7XWDH7/ LUMC02 Christian Hauschke Stephanie Hagemann-Wilholt PUBLISH C8T39E@@pretalx.surf.nl -C8T39E Streamlining Facility Data Publications, Identification and Management en en 20261029T113000 20261029T120000 003000 Streamlining Facility Data Publications, Identification and Management FAST is a web application for facility access and management, developed for the EXCITE2 network, which coordinates access to European research infrastructure. Alongside proposal and transnational access management (TNA), FAST maintains a database of facilities, equipment, and metadata. Research equipment can change over time, and aspects like add-ons and modules often change between TNA calls. An instrument identifier tells you what piece of equipment was used, but not what it looked like when the data was collected. FAST has 2 of the pieces needed to solve this: equipment records with metadata, an audit trail of what changed when. We’re in the process of adding data publication features to FAST, including ‘access period’. The work we’ll present is about connecting data in a pragmatic and meaningful way. FAST is in active development, so we’ll present our progress, what decisions were made, and what remains open. The open questions are part of why we're bringing this to PIDfest. What attributes are meaningful to capture for traceability? How granular should it be? How do you version a physical object? This isn’t a unique problem and we're curious whether the PID community has encountered it elsewhere, and what approaches have worked. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/C8T39E/ LUMC02 Reinder de Vries Richard Wessels PUBLISH NW8TMJ@@pretalx.surf.nl -NW8TMJ Implementing Automatic DOI Registration in a Large Canadian Research Repository en en 20261029T120000 20261029T123000 003000 Implementing Automatic DOI Registration in a Large Canadian Research Repository Are your researchers expecting DOIs from your institutional research repository while it still relies on Handles? This session offers a practical account of implementing automated DOI registration in TSpace, the University of Toronto’s institutional research repository. You will learn how the University of Toronto Libraries is responding to the growing expectation that repository items participate fully in the global persistent identifier infrastructure. Scholarly publishing services at the University of Toronto Libraries Scholarly Communications and Copyright Office support multiple DOI registration services across different platforms and communities, including DataCite for repository content and Crossref for journals published through Open Journal Systems. As DOI use has expanded across these services, aligning workflows and service models has become increasingly important. At the same time, the growth of open access publishing and repository deposit has heightened the need for consistent, interoperable persistent identifiers that connect outputs across systems. You will hear how DOI registration in TSpace is being scoped and implemented within this environment. This includes how a brief scan of peer repositories informed the local approach, how priority item types were identified for an initial pilot, and how automated DOI registration through the DataCite Canada Consortium is being configured within the repository with support from Scholaris, the Canadian shared institutional repository service. The session will also address practical considerations for operating in a mixed PID environment and for communicating the value of DOIs to repository contributors and campus partners. After this session, you will: * Understand how to scope DOI implementation in an institutional repository, including identifying local priorities * Gain insight into the practical steps involved in piloting automated DOI registration in a DSpace repository * Appreciate how DOI implementation supports interoperability across repository and publishing infrastructures in an evolving open access landscape PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/NW8TMJ/ LUMC02 Shelby Thaysen Julia Gilmore PUBLISH KN9UNL@@pretalx.surf.nl -KN9UNL Lessons Learned from ORAP: Structuring Prizes with PIDs in Practice en en 20261029T110000 20261029T113000 003000 Lessons Learned from ORAP: Structuring Prizes with PIDs in Practice A new PID is born. In this session, you will discover how the **Open Registry for Awards and Prizes (ORAP)** helps you bring structure to fragmented award information and turn scattered data into something reusable, linkable, and genuinely useful. If you have ever tried to track prizes awarded across departments, databases, or spreadsheets, you already know how messy this landscape can be. ORAP aims to fix exactly that. We will start with a practical introduction to the registry, which officially launched in February 2026 with more than 1,900 curated awards and a metadata model consisting of 22 fields. Each award receives a unique ORAP-PRIZE-ID, giving it a stable and citable identity. Where possible, ORAP also connects awards to external knowledge sources such as Wikidata, and future extensions will include linking awarding organizations through ROR IDs to make the ecosystem even more interoperable. In a short live demo, you experience how ORAP can be used to explore and filter award data, support institutional reporting and enable new use cases in research information management. You will get insight into how the metadata schema is designed—what is included, what is not, and which fields are essential for describing awards in a consistent, machine readable way. Beyond the technical foundation, we’ll show how ORAP grows through a community-driven curation process. You learn how new awards are submitted, reviewed, improved, and finally integrated into the registry, and why community stewardship is crucial for keeping the dataset accurate, transparent, and up to date. This session is especially relevant if you work with research information systems, persistent identifiers or metadata standards and want to understand how prize data can be structured and integrated into the PID ecosystem. If you are curious how a new identifier system comes to life—and how you can contribute—this is your chance. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/KN9UNL/ LUMC03 Göde Both Nikolai Schmarbeck Sebastian Herwig PUBLISH V9B3VS@@pretalx.surf.nl -V9B3VS ISNI as bridging identifier between cultural sector and copyright management organisations (CMOs): implementation of name identifier in Finland en en 20261029T113000 20261029T120000 003000 ISNI as bridging identifier between cultural sector and copyright management organisations (CMOs): implementation of name identifier in Finland ISNI operations in Finland have developed rapidly over the past few years, driven by a series of national ISNI projects and growing collaboration across the cultural and creative industries. The National Library of Finland (NLF) serves as the ISNI registration agency and plays a central role in supporting Finnish organisations in the adoption and implementation of ISNI. During the recent projects, ISNI has been broadly adopted by Finnish copyright management organisations (CMOs) and piloted in museum and archive systems. These pilots have demonstrated how a persistent identifier for contributors can significantly improve the reliability, accuracy and interoperability of metadata. By enabling organisations to refer to contributors in a consistent and unambiguous way, ISNI improves the quality of metadata exchanged between cultural organisations and CMOs. The key outcomes of the projects has been the strengthening of cross-sector collaboration. Cultural heritage institutions, CMOs, archives and museums have worked together more closely than before, sharing practices and exploring ways to support smoother metadata exchange. This collaboration will hopefully help in future to build a more cohesive community around users of ISNI. In the presentation, we will discuss how this collaboration emerged, what kinds of challenges we encountered during implementation and how these challenges were addressed in practice. Issues such as data quality, organisational workflows, and different levels of technical readiness have all shaped the implementation process. By reflecting on these experiences, we aim to provide insights that may be useful for other countries or organisations considering similar initiatives. We will also present concrete examples of the benefits that ISNI has brought to different sectors. These include improved contributor data quality, more efficient data exchange and reduced duplication of work. Looking ahead, the NLF has outlined a long-term vision for building a national ISNI ecosystem. This vision describes the development path of ISNI operation in Finland and identifies key steps needed to integrate the identifier more deeply into the national metadata infrastructure. These measures include expanding the use of ISNI to new sectors, strengthening automated workflows, improving data governance and ensuring a reliable operational environment. In the presentation, we will provide an overview of the process made so far, the lessons learned, and the strategic direction for the coming years. We could talk about all themes: how these projects have helped to strength community across sector, what kind of challenges we dealt with, and the tangible benefits of adopting ISNI in different sectors, as well as the potential ones. In the section we also want to present NLF’s long-term vision for a national ISNI ecosystem, which outlines Finland’s development path and key measures for integrating the identifier into the national metadata infrastructure. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/V9B3VS/ LUMC03 Katerina Sornova Okko Vainonen PUBLISH D3ZSAA@@pretalx.surf.nl -D3ZSAA When Not to Mint Another PID for Article Versions en en 20261029T120000 20261029T123000 003000 When Not to Mint Another PID for Article Versions Do you need a cleaner way to identify article versions without creating a new PID every time something changes? In this session you will see why article versioning remains confusing across repositories, preprint servers, journals, and indexing systems, and how the revised NISO Journal Article Versions recommendations offer a more practical approach. You will get a concise introduction to the updated JAV model, including the move beyond the 2008 recommendations and the addition of semantic versioning to describe change more precisely. You will see how semantic versioning can help readers, publishers, and repositories distinguish between major, minor, and patch-level updates while keeping a stable reference to the overall work where that makes sense. You will also see where extra PIDs are useful and where they can create noise, increase cost, create redundant records, or introduce citation uncertainty. The session will use three concrete publishing scenarios, including preprints, corrections to the Version of Record and the challenge of keeping repository copies aligned, and post-publication review models, to show when a work-level PID plus stage and version metadata is enough and when a new PID is still warranted. This is not an argument against PIDs. It is an argument for using them where they add value and avoiding unnecessary identifier proliferation where version metadata can do the job better. By the end of the session, you will better understand: 1. how semantic versioning can support precise citation of article versions while keeping knowledge connected to the overall work. 2. how version relationships should be expressed through metadata and display, not only through changes to PIDs. 3. what publishers, platforms, and standards groups may need to update in policy, metadata, and article presentation. This session is especially relevant if you work with scholarly publishing, repositories, preprint platforms, metadata, or PID infrastructure and want a more transparent, scalable way to manage article version history. You will leave with a clearer framework for deciding when to keep one PID, when to mint another, and what metadata and display changes your systems may need. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/D3ZSAA/ LUMC03 Patrick Hargitt PUBLISH BYDFUL@@pretalx.surf.nl -BYDFUL Stop Retrofitting Metadata — Capture Interoperable Metadata Right Where Research Happens en en 20261029T110000 20261029T113000 003000 Stop Retrofitting Metadata — Capture Interoperable Metadata Right Where Research Happens Do you find yourself cleaning up inconsistent metadata long after the research is done, wishing your data had been labelled properly from the start? Or are you struggling making data interoperable with your tool or service? In this session, you'll see how PID4NFDI, TS4NFDI, and the ResearchSpace have collaborated on an actionable solution so that structured, interoperable metadata becomes a natural part of your (researchers') daily lab workflow — not something you bolt on later. You'll get a look at a solution where DataCite metadata vocabularies are embedded directly into RSpace via TS4NFDI terminology widgets, letting you and your team efficiently tag data and curate metadata with standardised terms at the moment of creation, that ultimately enable efficient data interoperability through established crosswalks between different metadata standards. After this session, you'll walk away with: - A practical picture of how terminology services and tools in the active research phase can work together on a reusable interoperability layer for your institution or consortium. - An understanding of how cross-schema mappings (DataCite ↔ schema.org / DCAT) can act as a robust interoperability layer — versioned, transparent, and ready to reuse. - Inspiration for how this integration pattern can extend to other research and research data management tools. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/BYDFUL/ LUMC04 Tilo Mathes PUBLISH SRWLFM@@pretalx.surf.nl -SRWLFM Using Persistent Identifiers to Demonstrate the Value of ICPSR Membership en en 20261029T113000 20261029T120000 003000 Using Persistent Identifiers to Demonstrate the Value of ICPSR Membership The Inter-university Consortium for Political and Social Research (ICPSR) is an international consortium of more than 800 academic and research organizations, holding over 20,000 collections of social science and health-related data. ICPSR employs librarians and data curators who add detailed metadata to collections, and it maintains a Bibliography of Data-related Literature with over 125,000 citations linking publications to the data they analyze. Member organizations support ICPSR's mission of curating and sharing research data, and in return their faculty and students receive free access to data, the Bibliography, and a platform for sharing their own research. To demonstrate the value of membership, ICPSR must show institutions evidence of how their communities engage with its data — a challenge when author affiliation information is missing or inconsistent. To address this, ICPSR has undertaken two projects using persistent identifiers (PIDs) to quantify and demonstrate the impact of membership. Project 1: Enhancing PI Metadata with ROR IDs The first project adds Research Organization Registry identifiers (ROR IDs) to metadata records for principal investigators (PIs) of ICPSR data collections. Because ICPSR has been collecting data for over sixty years — predating PIDs — PI affiliations are stored as inconsistent text strings rather than standardized identifiers, making it difficult for member institutions to find collections affiliated with them. To fix this, staff used OpenRefine's ROR reconciliation service to map existing affiliation strings to ROR IDs. In stage 1, this information was maintained in a shared spreadsheet and explored via a Java application. In stage 2, ICPSR has updated its metadata schema to include ROR IDs for PI affiliations, organizational PIs, and funding agencies. In the new schema, depositors can add ROR IDs directly when they share data with ICPSR, and staff are retrofitting older records. This lays the groundwork for improved discovery and reporting. Project 2: Connecting Bibliography Citations to Member Institutions The second project uses open bibliographic data to link citations in ICPSR's Bibliography to member institutions. The Bibliography's in-house software captures all necessary elements of a citation, but most citations were added before the widespread adoption of personal and institutional identifiers, leaving a gap in understanding regarding who publishes using ICPSR data. However, the Bibliography does collect digital object identifiers (DOIs) for publications, making it possible to find affiliation metadata. Using those DOIs, a custom Python program matches the affiliations of authors in the Bibliography to institutions and their ROR IDs via OpenAlex, an open-source index connecting authors, institutions, and funders to citations. The resulting affiliation data supports targeted outreach to current members and to frequent ICPSR data users who are not yet members. This presentation will discuss the outcomes of each of these projects and share examples of how they have been used to communicate with ICPSR’s members. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/SRWLFM/ LUMC04 Megan Chenoweth Elisabeth Shook PUBLISH TKPMBG@@pretalx.surf.nl -TKPMBG The Flemish Organization Registry. Creating a local extension of a global database. en en 20261029T110000 20261029T113000 003000 The Flemish Organization Registry. Creating a local extension of a global database. Did you ever run out of identifiers when using global databases for data coding purposes? It happened to us while assigning organization identification codes in an extensive author affiliation data collection project. And it gave us ideas for another exciting initiative. Here’s the story. In the past few years, the Flemish R&D Monitoring Centre (ECOOM) collected and registered author affiliation data of Flemish SSH publications not included in the Web of Science, using the Research Organization Registry (ROR) as tool for organization identification. However, we experienced that one third of the affiliated organizations were not included in ROR, the global reference database. In order to complete the registration of our affiliations, we added a further 2,000 organizations to a local copy of ROR and coded them according to the ROR data model. This issue created an opportunity: we now disposed of a platform allowing the structural mapping of a much broader arsenal of organizations involved in research in Flanders, irrespective of their inclusion in ROR or their importance on a global scale. Our ‘ROR+’-database morphed into the Flemish Organization Registry (FOR). FOR aims to provide PIDs and metadata of Flemish organizations mentioned on author affiliations, in project descriptions or other databases. These new PIDs can be used as identification tool in publication and project databases, in CRIS systems etc. Just like ROR, but for organizations with a first and foremost national relevance. The instrument is created via a step-by-step approach. After the consultation of multiple stakeholders we received several organization lists that are commonly used by actors in the broader Flemish scientific landscape (government entities, universities, funding agencies etc.). These lists with research organizations, educational institutions, organizations receiving EU Funding etc. form the foundations of FOR. In a second phase, organizations appearing in these lists are disambiguated and integrated in our expanded copy of ROR, during which they receive a new FOR ID, before being extended with metadata compatible with the ROR data model. In the end, FOR will consist of a full copy of ROR plus all other organizations involved in research in Flanders, all disposing of a FOR ID. In a final stage, data will be publicly released; FOR-only organizations that might have a relevance beyond Flanders will be transferred tot ROR. Apart from the creation of a single PID for more organizations, FOR also wants to connect other relevant PIDs. We focus in particular on four specific identifiers: the ROR ID (if available), the identifier in the Belgian Enterprise Registry, the EU Participant Identification Code and the Wikidata identifier of an organization. They are important keys to Belgian, European and international databases with relevant data. FOR will be publicly available at https://www.flemishorganizationregistry.be and is already being used by two services via an API. In the presentation about FOR, you will learn about how to extend a global organization database with a local dimension, in order to capture all organizations involved in research in a certain geographic region. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/TKPMBG/ LUMC05 Peter Aspeslagh PUBLISH 8JF9XD@@pretalx.surf.nl -8JF9XD Put A PID On It: PID Advocacy for Repositories en en 20261029T113000 20261029T120000 003000 Put A PID On It: PID Advocacy for Repositories Do you use or support repositories and are interested in better persistent identifier (PID) integrations into those workflows? In this session, you will learn why PIDs are becoming essential for repository infrastructure, the role of community advocacy, and how stronger integrations can improve discovery, attribution, and connections across research systems. Using DSpace as a case study, you will hear how recent improvements to ORCID integration (supported by the ORCID Global Participation Fund and led by the ORCID US and Canadian Communities) sparked broader conversations about how repositories can better support ORCID iDs and other PIDs. You will also learn what the global DSpace community shared in a 2025 survey about priorities for PID functionality. By the end of the session, you will better understand how repository communities can advocate for stronger PID integrations and how collaborative working groups can help move improvements forward across platforms. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/8JF9XD/ LUMC05 Carly Robinson Sheila Rabun John Aspler PUBLISH JJAJDR@@pretalx.surf.nl -JJAJDR The trials and tribulations of being a multi-PID service provider en en 20261029T110000 20261029T113000 003000 The trials and tribulations of being a multi-PID service provider We aim to provide guidance on the various ways National Research and Education Networks (NRENs) and similar organizations can support the research ecosystem through the use of Persistent Identifiers (PIDs). We will use SURF, a collaborative organisation managing IT and related infrastructure in Dutch education and research, with a rich history in the PID space as a case study. Using SURF’s experience we will present advice, lessons learned and red flags when developing and maintaining PID services. We will reflect on how organisations can get involved on a policy level at both the national and international level and discuss the benefits and drawbacks this can bring. A strong focus will be on the mature handle service and the new RAiD service. We will contrast what is needed to get a service off the ground as well as what is necessary to keep it “persistently” functioning over the decades in changing research landscapes. Additionally, we will demonstrate how service providers can leverage partnerships with institutions and user communities in order to develop policies, align strategies and build consortia, and how this can strengthen the PID space as well as promote integration between useful PID services. PUBLIC CONFIRMED Short Presentation https://pretalx.surf.nl/pidfest-26-2026/talk/JJAJDR/ LUMC06 Giacomo Cannizzaro Natascha van Lieshout