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File PDF document 2019_talk_agu_dn
Neumann, Daniel; Peters, Karsten; Ganske, Anette; Mülmenstädt, Johannes; Voss, Vivien; Grawe, David; Höck, Heinke; Kindermann, Stephan; Kraft, Angelina; Lammert, Andrea; Leitl, Bernd; Quaas, Johannes; Schlünzen, Heinke; Thiemann, Hannes (2019). AtMoDat: Improving reusability of atmospheric model data by adapting metadata standards and by providing specific data quality information.
Located in Dissemination
Quality Indicator
The generation of research data is both work extensive and costly. Data users are searching for standardized high-quality data. Funding agencies wish to encourage the re-use of data whose production they have funded. To foster the reuse of research data, the FAIR data principles were established: findable, accessible, interoperable and reusable. Assigning DataCite DOIs and metadata to datasets are the first steps to meet the FAIR principles. However, DOIs and metadata do not guarantee that data are actually reusable if quality information on the data and metadata are not provided and data are saved in proprietary or undocumented file formats. The AtMoDat project (Atmospheric Model Data) aims on establishing a generic quality indicator to bridge these gaps and foster reuse of data.
Located in Dissemination
Outline of a Generic Quality Indicator extending the DataCite metadata schema published
The AtMoDat aims on establishing a generic quality indicator within the DataCite metadata schema which should support data users to identify high quality research data in and beyond their field of expertise, incentivize data producers to publish high quality data, and honor data repositories which perform extensive data curation. A first outline of such a generic quality indicator was published now.
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