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UID:pretalx-pidfest-26-2026-GRERM8@pretalx.surf.nl
DTSTART;TZID=CET:20261027T141500
DTEND;TZID=CET:20261027T150000
DESCRIPTION:As data volumes and complexity grow the question of how to scal
 e Persistent Identifier (PID) systems becomes increasingly important. In p
 ractice\, data is often organized in hierarchies - from collections to dat
 asets to individual files - raising a key challenge: Which level of detail
  truly benefits users whilst keeping the systems operational?\n\nThis sess
 ion invites participants to share real-world use cases\, challenges\, and 
 approaches to PID assignment across different domains. Depending on the co
 ntext\, PIDs at the collection or publication level may be sufficient for 
 discovery and citation\, while more granular identifiers are required for 
 reproducibility\, automated workflows\, and machine actionability. However
 \, increased granularity  introduces overhead and complexity\, potentially
  leading to unsustainable proliferation of identifiers.\n\nWe aim to bring
  together diverse perspectives from different stakeholders to explore how 
 decisions about PID granularity are made in practice\, and how to balance 
 the trade-off between too many and too few PIDs.
DTSTAMP:20260728T180015Z
LOCATION:LUMC02
SUMMARY:What Deserves a PID ? Scalability\, Scope and Granularity in Real-W
 orld PID Use Cases - Karsten Peters-von Gehlen\, Heinrich Widmann
URL:https://pretalx.surf.nl/pidfest-26-2026/talk/GRERM8/
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UID:pretalx-pidfest-26-2026-3CGJYT@pretalx.surf.nl
DTSTART;TZID=CET:20261027T150000
DTEND;TZID=CET:20261027T154500
DESCRIPTION:Are you involved in or assisting researchers with either making
  datasets produced in HPC environments available for reuse or trying to fi
 nd the data you need for your work and finding it utterly cumbersome? Have
  you ever wondered about how AI applications can best find the training da
 ta required for a specific task across infrastructural boundaries? Indeed\
 , in many domains\, data are created at large\, distributed HPC centers bu
 t are not operationally assigned globally resolvable PIDs at the point of 
 production\, making it hard to identify\, track\, and reuse these datasets
  across infrastructures.\n\nIn this BoF\, you will discuss how PIDs could 
 be integrated directly into HPC workflows at simulation runtime\, explore 
 current technical ideas and challenges\, and discuss what would be needed 
 to make data practically immediately usable across federated HPC systems. 
 The focus is on practical questions around data access\, metadata\, proven
 ance\, and interoperability.
DTSTAMP:20260728T180015Z
LOCATION:LUMC02
SUMMARY:Exploring PID applicability to HPC and AI Workflows: enabling quick
  turnaround from data creation to reuse - Karsten Peters-von Gehlen
URL:https://pretalx.surf.nl/pidfest-26-2026/talk/3CGJYT/
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