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Seep, L.* ; Grein, S.* ; Splichalova, I.* ; Ran, D.* ; Mikhael, M.* ; Hildebrand, S.* ; Lauterbach, M.* ; Hiller, K.* ; Ribeiro, D.J.S.* ; Sieckmann, K.* ; Kardinal, R.* ; Huang, H.* ; Yu, J.* ; Kallabis, S.* ; Behrens, J.* ; Till, A.* ; Peeva, V.* ; Strohmeyer, A.* ; Bruder, J.* ; Blum, T.* ; Soriano-Arroquia, A.* ; Tischer, D.* ; Kuellmer, K.* ; Li, Y.* ; Beyer, M.* ; Gellner, A.K.* ; Fromme, T.* ; Wackerhage, H.* ; Klingenspor, M.* ; Fenske, W.K.* ; Scheja, L.* ; Meissner, F.* ; Schlitzer, A.* ; Mass, E.* ; Wachten, D.* ; Latz, E.* ; Pfeifer, A.* ; Hasenauer, J.

From planning stage towards FAIR data: A practical metadatasheet for biomedical scientists.

Sci. Data 11:524 (2024)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Datasets consist of measurement data and metadata. Metadata provides context, essential for understanding and (re-)using data. Various metadata standards exist for different methods, systems and contexts. However, relevant information resides at differing stages across the data-lifecycle. Often, this information is defined and standardized only at publication stage, which can lead to data loss and workload increase. In this study, we developed Metadatasheet, a metadata standard based on interviews with members of two biomedical consortia and systematic screening of data repositories. It aligns with the data-lifecycle allowing synchronous metadata recording within Microsoft Excel, a widespread data recording software. Additionally, we provide an implementation, the Metadata Workbook, that offers user-friendly features like automation, dynamic adaption, metadata integrity checks, and export options for various metadata standards. By design and due to its extensive documentation, the proposed metadata standard simplifies recording and structuring of metadata for biomedical scientists, promoting practicality and convenience in data management. This framework can accelerate scientific progress by enhancing collaboration and knowledge transfer throughout the intermediate steps of data creation.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Annotation; Curation; Geo
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 2052-4463
e-ISSN 2052-4463
Zeitschrift Scientific Data
Quellenangaben Band: 11, Heft: 1, Seiten: , Artikelnummer: 524 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-553800-001
Förderungen Medical Faculty, University of Bonn, BONFOR
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy
University of Bonn
European Research Council (ERC) under the European Union
DFG
European Research Council (ERC, under the European Union's Horizon Europe research and innovation program)
Gabriele Hedwig Danielewski foundation
Else Kroener Fresenius Foundation
Deutsche Forschungsgemeinschaft (German Research Foundation)
DOI 10.1038/s41597-024-03349-2
WOS ID 001229403000003
Scopus ID 85194018952
PubMed ID 38778016
Erfassungsdatum 2024-06-14
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