Katharina Sieckmann, Tobias Fromme, Elvira Mass, Dagmar Wachten, Iva Splichalova, Danli Ran, Mickel Mikhael, Staffan Hildebrand, Mario Lauterbach, Dalila Juliana Silva Ribeiro, Katharina Kuellmer, Ronja Kardinal, Jiangyan Yu, Janina Behrens, Johanna Bruder, Tobias Blum, Dominik Tischer, Anne-Kathrin Gellner, Andreas Schlitzer, Marc Beyer, Jan Hasenauer, Ana Soriano-Arroquia, Ludger Scheja, Martin Klingenspor, Viktoriya Peeva, Wiebke K Fenske, Sebastian Kallabis, Karsten Hiller, Andreas Till, Akim Strohmeyer, Yuanfang Li, Alexander Pfeifer, Felix Meissner, Eicke Latz, Henning Wackerhage, Hao Huang, Lea Seep, Stephan Grein
Journal: Scientific data 2024;11(1):524
PMID: 38778016
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.
© 2024. The Author(s).
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