Journal Article

PUBDB-2023-07863

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Data preservation in high energy physics

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

2023
Springer Heidelberg

This record in other databases:        

Please use a persistent id in citations: doi:10.1140/epjc/s10052-023-11885-1  doi:10.3204/PUBDB-2023-07863

Report No.: DPHEP-2023-01; arXiv:2302.03583

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.

Keyword(s): computer: network ; hardware ; Grid computing ; data preservation ; transverse ; interface ; neural network ; statistical analysis ; data analysis method ; data compilation ; data management ; programming

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Contributing Institute(s):

1. ZEUS Kollaboration (ZEUS)
2. H1 Kollaboration (H1)

Research Program(s):

1. 611 - Fundamental Particles and Forces (POF4-611) (POF4-611)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2023

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Database coverage:
; ; ; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOAP3 sponsored Journal ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint Basaglia, T. ; Bellis, M. ; Blomer, J. ; et al
Data Preservation in High Energy Physics DPHEP Global Report 2022
[10.3204/PUBDB-2023-00714]     Files  Fulltext Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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