Data Preservation in High Energy Physics
Abstract
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.
Cite
@article{arxiv.2302.03583,
title = {Data Preservation in High Energy Physics},
author = {T. Basaglia and M. Bellis and J. Blomer and J. Boyd and C. Bozzi and D. Britzger and S. Campana and C. Cartaro and G. Chen and B. Couturier and G. David and C. Diaconu and A. Dobrin and D. Duellmann and M. Ebert and P. Elmer and J. Fernandes and L. Fields and P. Fokianos and G. Ganis and A. Geiser and M. Gheata and J. B. Gonzalez Lopez and T. Hara and L. Heinrich and K. Herner and M. Hildreth and B. Jayatilaka and M. Kado and O. Keeble and A. Kohls and K. Naim and C. Lange and K. Lassila-Perini and S. Levonian and M. Maggi and Z. Marshall and P. Mato Vila and A. Mečionis and A. Morris and S. Piano and M. Potekhin and M. Schröder and U. Schwickerath and E. Sexton-Kennedy and T. Šimko and T. Smith and D. South and A. Verbytskyi and M. Vidal and A. Vivace and L. Wang and G. Watt and T. Wenaus},
journal= {arXiv preprint arXiv:2302.03583},
year = {2023}
}