Data, Analysis, Software, Hardware, Knowledge Preservation in HEP and beyond
The goals of this workshop are to review the DP status and actions, and exploring other aspects such as AI technologies for information preservation, DP for outreach, and cognitive sciences input for long-term knowledge preservation in large collaborations.
- Perform a site-experiment round-table to capture the current situation including common problems & solutions HEP-wide
- Intensive surveys of the data sets in HEP: the landscape and the caves.
- Address the hardware preservation, applying the DPHEP concepts
- define "hardware preservation" (key note talk on logistics in industry and at CERN)
- hardware data (using DPHEP definitions: files, software, documentation, publications)
- use case : training, demo, spare, maintenance: what and how should be preserved
- knowledge/skills preservation
- Knowledge and memory (keynote talk on cognitive science)
- Data Preservation for outreach
- Impact of AI, AI projects for data (and therefore knowledge) preservation.
Please note that the agenda has to be adjusted to include new proposals/speakers. Proposals welcome.
16/02/2026: The agenda is preliminary: the content/time can still change.
16/02/2026: Note that the meeting room location will change for the second day March 6.
Does scientific data have intrinsic value, particularly data from large scale experiments? Does the value or accuracy of these data change over time? Could these data contain 'hidden treasures'? Is data collected more than 25 years ago at LEP collider still relevant and usable? Could these data help prepare the future collider FCC? How do the Babar and HERA experiments manage to produce scientific papers so long after the data-taking phase has ended? Will RHIC preserved data facilitate a scientific transition to EIC? How is LHC data prepared for long-term preservation and open access? What prevents us from analysing preserved data: technology or knowldege ? Are there generic solutions available? Can AI help us preserve knowledge and technology for the future?