https://doi.org/10.1140/epjc/s10052-023-11885-1
Review
Data preservation in high energy physics
1
CERN, Geneva, Switzerland
2
Cornell University, Ithaca, USA
3
INFN Ferrara, Ferrara, Italy
4
Max-Planck-Institut für Physik, Munich, Germany
5
SLAC National Accelerator Laboratory, Menlo Park, USA
6
Institute of High Energy Physics, IHEP, CAS, Beijing, China
7
Brookhaven National Laboratory, BNL, Upton, USA
8
Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
9
Institute of Space Science, ISS, Bucharest, Măgurele, Romania
10
HEP Research Computing, University of Victoria, Victoria, BC, Canada
11
Princeton University, Princeton, USA
12
Deutsches Elektronen Synchrotron, DESY, Hamburg, Germany
13
High Energy Accelerator Research Organization, KEK, Tsukuba, Japan
14
Fermi National Accelerator Laboratory, Batavia, USA
15
Helsinki Institute of Physics, Helsinki, Finland
16
INFN Trieste, Trieste, Italy
17
University of Bonn, Bonn, Germany
18
Lawrence Berkeley National Laboratory, Berkeley, USA
19
IPPP, Durham University, Durham, UK
20
Paul Scherrer Institut, Villigen, Switzerland
21
University of Notre Dame, Notre Dame, USA
22
INFN Bari, Bari, Italy
23
Siena College, New York, USA
24
Stony Brook University, Stony Brook, USA
Received:
18
April
2023
Accepted:
20
July
2023
Published online:
8
September
2023
Data preservation is a mandatory specification for any present and future experimental facility and it is a cost-effective way of doing fundamental research by exploiting unique data sets in the light of the continuously increasing theoretical understanding. This document summarizes the status of data preservation in high energy physics. The paradigms and the methodological advances are discussed from a perspective of more than ten years of experience with a structured effort at international level. The status and the scientific return related to the preservation of data accumulated at large collider experiments are presented, together with an account of ongoing efforts to ensure long-term analysis capabilities for ongoing and future experiments. Transverse projects aimed at generic solutions, most of which are specifically inspired by open science and FAIR principles, are presented as well. A prospective and an action plan are also indicated.
© The Author(s) 2023
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Funded by SCOAP3. SCOAP3 supports the goals of the International Year of Basic Sciences for Sustainable Development.
