Data preservation in high energy physics

T. Basaglia, M. Bellis, J. Blomer, J. Boyd, C. Bozzi, D. Britzger, S. Campana, C. Cartaro, G. Chen, B. Couturier, G. David, C. Diaconu, A. Dobrin, D. Duellmann, M. Ebert, P. Elmer, J. Fernandes, L. Fields, P. Fokianos, G. GanisA. Geiser, M. Gheata, J. B.Gonzalez Lopez, T. Hara, L. Heinrich, M. Hildreth, K. Herner, B. Jayatilaka, M. Kado, O. Keeble, A. Kohls, K. Naim, C. Lange, K. Lassila-Perini, S. Levonian, M. Maggi, Z. Marshall, P. Mato Vila, A. Mečionis, A. Morris, S. Piano, M. Potekhin, M. Schröder, U. Schwickerath, E. Sexton-Kennedy, T. Šimko, T. Smith, D. South, A. Verbytskyi, M. Vidal, A. Vivace, L. Wang, G. Watt, T. Wenaus

Research output: Contribution to journalReview articlepeer-review


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.

Original languageEnglish (US)
Article number795
JournalEuropean Physical Journal C
Issue number9
StatePublished - Sep 2023

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Physics and Astronomy (miscellaneous)


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