Document (#43135)

Author
Markus, K.
Title
Metadatenschemata für Forschungsdaten : Generische Standards und Spezifika in der Biologie und den Ingenieurwissenschaften
Source
Perspektive Bibliothek. 9(2020) H.1, S.xx-xx
Year
2020
Abstract
Forschungsdaten sind von zunehmender Wichtigkeit für die Wissenschaft, Forschungsförderer und schließlich auch für die Arbeit an Bibliotheken. Sie sollen nicht nur veröffentlicht werden, sondern nach ihrer Publikation auch auffindbar und nachnutzbar sein, wie von den FAIR-Prinzipien gefordert. Die beschreibenden Metadaten müssen daher in ausreichendem Detail vorliegen, sowie standardisiert und maschinenverwendbar sein, um den Datenaustausch zu ermöglichen. Im Zuge dieser Entwicklung haben sich verschiedene Metadatenschemata und weitere Metadatenstandards sowohl für eine generische Beschreibung von Forschungsdaten, als auch für fachspezifische Metadaten einer Wissenschaftsdisziplin oder -teildisziplin etabliert. In diesem Beitrag wird eine Auswahl von weitverbreiteten generischen Standards sowie exemplarisch einzelne fachspezifische Standards aus der Biologie und den Ingenieurwissenschaft vorgestellt. Dabei wird auch die Kultur des Datenaustausches in den behandelten Fachdisziplinen beleuchtet, in dessen Kontext sich die entsprechenden Metadatenschemata herausbildet haben. Weiterhin wird auch ein kurzer Ausblick auf die Plattformen, die den Austausch von Daten- und Metadatenstandards, sowie ihre Weiterentwicklung und ihre Referenz unterstützen einbezogen. Bei der Forschungsdokumentation und entsprechender Anwendung von Metadatenstandards im Forschungsalltag bestehen weiterhin Hürden aufgrund des Aufwandes. Softwareanwendungen die die Dokumentation erleichtern und in die Metadatenschemata integriert werden könnten werden kurz diskutiert. In all diesen Bereichen können sich Bibliotheken unterstützend oder gestaltend einbringen und ihre Expertise gewinnbringend in Kommunikation mit der Wissenschaft zur Verfügung stellen.
Content
https://journals.ub.uni-heidelberg.de/index.php/bibliothek/article/view/77851. https://doi.org/10.11588/pb.2020.1.77851.
Theme
Metadaten
Field
Biologie
Ingenieurwissenschaften

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