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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)

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Open Access Gold as soon as Publ. Version/Full Text is submitted to ZB.

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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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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Annotation; Curation; Geo

ISSN (print) / ISBN 2052-4463

e-ISSN 2052-4463

Journal Scientific Data

Quellenangaben Volume: 11, Issue: 1, Article Number: 524

Publisher Nature Publishing Group

Publishing Place London

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Computational Biology (ICB)

Grants 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)