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Data Preservation in High Energy Physics

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arxiv 2503.23619 v1 pith:4RNFRNFZ submitted 2025-03-30 hep-ex

Data Preservation in High Energy Physics

classification hep-ex
keywords dataexperimentspreservationphysicsopenscientificacquisitionactivity
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Data preservation significantly increases the scientific output of high-energy physics experiments during and after data acquisition. For new and ongoing experiments, the careful consideration of long-term data preservation in the experimental design contributes to improving computational efficiency and strengthening the scientific activity in HEP through Open Science methodologies. This contribution is based on 15 years of experience of the DPHEP collaboration in the field of data preservation and focuses on aspects relevant for the strategic programming of particle physics in Europe: the preparation of future programs using data sets preserved from previous similar experiments (e.g. HERA for EIC), and the use of LHC data long after the end of the data taking. The lessons learned from past collider experiments and recent developments open the way to a number of recommendations for the full exploitation of the investments made in large HEP experiments.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. AgentRivet: an automated system for producing Rivet routines from journal publications

    hep-ex 2026-06 unverdicted novelty 7.0

    AgentRivet applies commercial LLMs in an autonomous workflow to extract physics details from ATLAS and CMS papers and generate Rivet routines, achieving few syntax errors but occasional physics implementation issues o...

  2. Data Preservation in High Energy Physics: Global Report 2026

    hep-ex 2026-07 accept novelty 3.0

    The 2026 DPHEP report records substantial progress in HEP data preservation, including modern reanalyses of LEP legacy data and expanding open-data policies, alongside sustainability challenges.