PIDfest 26

Effective disaster detection and response depends on integrating heterogeneous signals across meteorological, geospatial, epidemiological, infrastructure, and community domains, yet these systems remain siloed, lacking a persistent, machine-actionable way to navigate the relationships among them. This workshop explores how persistent identifiers (PIDs) and a connected PID graph can serve as the connective tissue for a complex adaptive disaster management system. Drawing on the CADEM framework's emphasis on non-linear, multi-actor, feedback-driven response, and on Fakhruddin's work on FAIR data policy for disaster risk, we ask: what would it take to make cross-domain disaster data not just FAIR, but actionable at speed? Applying CODATA's Cross-Domain Interoperability Framework (CDIF), participants will work collaboratively to map PID requirements across disaster management phases, identify the governance and technical barriers to a functional DRR PID graph, and propose a practical implementation roadmap aligned with the Sendai Framework.

Research funders are under growing pressure to demonstrate the impact and reach of their portfolios, but doing so requires being able to connect grants to outputs reliably and at scale. Persistent identifiers are the connective tissue that makes this possible: Grant IDs, ORCIDs, RORs, and output IDs allow funders to link funded projects to who does the work, at which institution, and what it produces. In this workshop, representatives from ZonMw and NWO share their practical experiences implementing PID strategies, including what was difficult, what worked as expected, and what surprised them. This is followed by an OpenAlex demonstration that provides context on how open reporting systems use PIDs (or work around their absence) to create funder-level insights. The session is grounded in real implementation and invites participants to reflect on the funder's role in the broader PID ecosystem.