Home > Publications database > Data preservation in high energy physics > print

001     600295
005     20250720041215.0
024 7 _ |a 10.1140/epjc/s10052-023-11885-1
|2 doi
024 7 _ |a DPHEP:2023blx
|2 INSPIRETeX
024 7 _ |a inspire:2630153
|2 inspire
024 7 _ |a 1434-6044
|2 ISSN
024 7 _ |a 1434-6052
|2 ISSN
024 7 _ |a arXiv:2302.03583
|2 arXiv
024 7 _ |a 10.3204/PUBDB-2023-07863
|2 datacite_doi
024 7 _ |a WOS:001064474800002
|2 WOS
024 7 _ |2 openalex
|a openalex:W3047079659
024 7 _ |a altmetric:142268063
|2 altmetric
037 _ _ |a PUBDB-2023-07863
041 _ _ |a English
082 _ _ |a 530
088 _ _ |a arXiv:2302.03583
|2 arXiv
088 _ _ |a DPHEP-2023-01
|2 Other
100 1 _ |a Basaglia, T.
|b 0
245 _ _ |a Data preservation in high energy physics
260 _ _ |a Heidelberg
|c 2023
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1703169852_12803
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a 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.
536 _ _ |a 611 - Fundamental Particles and Forces (POF4-611)
|0 G:(DE-HGF)POF4-611
|c POF4-611
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, INSPIRE, Journals: bib-pubdb1.desy.de
650 _ 7 |a computer: network
|2 INSPIRE
650 _ 7 |a hardware
|2 INSPIRE
650 _ 7 |a Grid computing
|2 INSPIRE
650 _ 7 |a data preservation
|2 INSPIRE
650 _ 7 |a transverse
|2 INSPIRE
650 _ 7 |a interface
|2 INSPIRE
650 _ 7 |a neural network
|2 INSPIRE
650 _ 7 |a statistical analysis
|2 INSPIRE
650 _ 7 |a data analysis method
|2 INSPIRE
650 _ 7 |a data compilation
|2 INSPIRE
650 _ 7 |a data management
|2 INSPIRE
650 _ 7 |a programming
|2 INSPIRE
693 _ _ |0 EXP:(DE-MLZ)NOSPEC-20140101
|5 EXP:(DE-MLZ)NOSPEC-20140101
|e No specific instrument
|x 0
700 1 _ |a Bellis, M.
|b 1
700 1 _ |a Blomer, J.
|b 2
700 1 _ |a Boyd, J.
|b 3
700 1 _ |a Bozzi, C.
|b 4
700 1 _ |a Britzger, D.
|b 5
700 1 _ |a Campana, S.
|b 6
700 1 _ |a Cartaro, C.
|b 7
700 1 _ |a Chen, G.
|b 8
700 1 _ |a Couturier, B.
|b 9
700 1 _ |a David, G.
|b 10
700 1 _ |a Diaconu, Cristinel
|0 P:(DE-H253)PIP1002745
|b 11
|e Corresponding author
700 1 _ |a Dobrin, A.
|b 12
700 1 _ |a Duellmann, D.
|b 13
700 1 _ |a Ebert, M.
|b 14
700 1 _ |a Elmer, P.
|b 15
700 1 _ |a Fernandes, J.
|b 16
700 1 _ |a Fields, L.
|b 17
700 1 _ |a Fokianos, P.
|b 18
700 1 _ |a Ganis, G.
|b 19
700 1 _ |a Geiser, A.
|0 P:(DE-H253)PIP1002698
|b 20
700 1 _ |a Gheata, M.
|b 21
700 1 _ |a Lopez, J. B. Gonzalez
|b 22
700 1 _ |a Hara, T.
|b 23
700 1 _ |a Heinrich, L.
|b 24
700 1 _ |a Herner, K.
|b 25
700 1 _ |a Hildreth, M.
|b 26
700 1 _ |a Jayatilaka, B.
|b 27
700 1 _ |a Kado, M.
|b 28
700 1 _ |a Keeble, O.
|b 29
700 1 _ |a Kohls, A.
|b 30
700 1 _ |a Naim, K.
|b 31
700 1 _ |a Lange, C.
|b 32
700 1 _ |a Lassila-Perini, K.
|b 33
700 1 _ |a Levonian, S.
|0 P:(DE-H253)PIP1002089
|b 34
700 1 _ |a Maggi, M.
|b 35
700 1 _ |a Marshall, Z.
|b 36
700 1 _ |a Vila, P. Mato
|b 37
700 1 _ |a Mečionis, A.
|b 38
700 1 _ |a Morris, A.
|b 39
700 1 _ |a Piano, S.
|b 40
700 1 _ |a Potekhin, M.
|b 41
700 1 _ |a Schröder, M.
|b 42
700 1 _ |a Schwickerath, U.
|b 43
700 1 _ |a Sexton-Kennedy, E.
|b 44
700 1 _ |a Šimko, T.
|b 45
700 1 _ |a Smith, T.
|b 46
700 1 _ |a South, D.
|b 47
700 1 _ |a Verbytskyi, A.
|b 48
700 1 _ |a Vidal, M.
|b 49
700 1 _ |a Vivace, A.
|b 50
700 1 _ |a Wang, L.
|b 51
700 1 _ |a Watt, G.
|b 52
700 1 _ |a Wenaus, T.
|b 53
700 1 _ |a DPHEP Collaboration
|0 P:(DE-HGF)0
|b 54
|e Collaboration author
773 _ _ |a 10.1140/epjc/s10052-023-11885-1
|g Vol. 83, no. 9, p. 795
|0 PERI:(DE-600)1459069-4
|n 9
|p 795
|t The European physical journal / C
|v 83
|y 2023
|x 1434-6044
787 0 _ |a Basaglia, T. et.al.
|d 2023
|i IsParent
|0 PUBDB-2023-00714
|r arXiv:2302.03583 ; DPHEP-2023-01
|t Data Preservation in High Energy Physics DPHEP Global Report 2022
856 4 _ |y OpenAccess
|u https://bib-pubdb1.desy.de/record/600295/files/s10052-023-11885-1.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://bib-pubdb1.desy.de/record/600295/files/s10052-023-11885-1.pdf?subformat=pdfa
909 C O |o oai:bib-pubdb1.desy.de:600295
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
|k DESY
|b 20
|6 P:(DE-H253)PIP1002698
910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
|k DESY
|b 34
|6 P:(DE-H253)PIP1002089
910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
|k DESY
|b 54
|6 P:(DE-HGF)0
913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Matter and the Universe
|1 G:(DE-HGF)POF4-610
|0 G:(DE-HGF)POF4-611
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-600
|4 G:(DE-HGF)POF
|v Fundamental Particles and Forces
|x 0
914 1 _ |y 2023
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-21
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b EUR PHYS J C : 2022
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-05-02T09:05:14Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-05-02T09:05:14Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2023-10-21
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0571
|2 StatID
|b SCOAP3 sponsored Journal
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-21
915 _ _ |a SCOAP3
|0 StatID:(DE-HGF)0570
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-05-02T09:05:14Z
920 1 _ |0 I:(DE-H253)ZEUS-20120806
|k ZEUS
|l ZEUS Kollaboration
|x 0
920 1 _ |0 I:(DE-H253)H1-20120806
|k H1
|l H1 Kollaboration
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-H253)ZEUS-20120806
980 _ _ |a I:(DE-H253)H1-20120806
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21