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NFFA-Europe Pilot - D16.3 - Identification of good practices for data provenance

Yakutovich, Aliaksandr; Pizzi, Giovanni; Marzari, Nicola; Aversa, Rossella ORCID iD icon 1; Brandino, Giuseppe Piero; Panighel, Mirco
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

Here we elaborate and implement FAIR-oriented procedures and recommendations to enforce data provenance in the NFFA scientific experiment’s workflow, from data creation to data usage. The set of procedures is developed by taking into account needs coming from various communities within NEP.
Close attention is paid to identify and tailor existing electronic lab notebook (ELN) and laboratory information management system solutions for describing sample processing workflows and (semi-) automated metadata recording during the experiments as initial steps for implementing FAIR by design datasets.


Volltext §
DOI: 10.5445/IR/1000150501
Veröffentlicht am 09.09.2022
Originalveröffentlichung
DOI: 10.5281/zenodo.7057955
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Forschungsbericht/Preprint
Publikationsdatum 01.09.2022
Sprache Englisch
Identifikator KITopen-ID: 1000150501
HGF-Programm 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Verlag Zenodo
Umfang 16 S.
Projektinformation NEP (EU, H2020, 101007417)
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