Hausen, Daniela Adele; Schmitz, Dominik; Trautwein-Bruns, Ute
Barodte, Wolfram Walter; Dunker, Vasco Sebastian; Hahnengreß, Jessica
Forschende (PostDoc), Forschende (Projektleitung), Studierende (Master), Promovierende, Data Stewards, Data Manager
0 - 15 Minuten
Datenpublikation, Forschungsdatenmanagement, FDM, Research Data Management, FAIR, PID, RDM, data publication
Creative Commons Attribution 4.0 International (CC BY 4.0)
"Research Data to Publications" is an educational video on research data management. Using the fictitious example of squirrel research. Best practices are explained on how to deal with research data on which a publication is based. Basically, the research data on which a publication is based should be consciously selected and stored with a comprehensible structure and naming together with the context information necessary for understanding. A professional archive service should be used to preserve these data, ensuring safe storage for at least 10 years in accordance with good scientific practice. Research data can also be published as stand-alone objects if no arguments, such as data protection or the further exploitation concept, contradict this. They are then made publicly available in a repository. The advantage of publishing data is that in future no further effort will arise for the reuse of data. According to the FAIR data principles, research data should be findable, accessible, compatible interoperable and re-usable. Persistent identifiers are a very important instrument for this purpose. They make it possible to link archived or published data with the scientific text publication.
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