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2019_talk_agu_dn
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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.
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Outline of a Generic Quality Indicator extending the DataCite metadata schema published
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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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News & Events
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A discipline specific quality standard for atmospheric model data
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AtMoDat (2019). A discipline specific quality standard for atmospheric model data. v1.0
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Generic quality indicators in metadata of DataCite DOIs
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AtMoDat (2019). Generic quality indicators in metadata of DataCite DOIs. v1.0.
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Quality Indicator
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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.
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Conference Contribution: IDCC, February 2020
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Contributions of AtMoDat project partners to the International Digital Curation Conference (IDCC) 2020 in Dublin.
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Conference Contributions
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2020_abstract_idcc
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Peters, Karsten; Neumann, Daniel; Thiemann, Hannes (2019). Towards increasing the reusability of atmospheric model data: adapting metadata standards and introducing quality criteria.
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AtMoDat Logo SVG
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AtMoDat Logo as SVG file
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2019_abstract_agu_dn
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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.
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2019_abstract_item_vv
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Vivien Voss, Heinke Schlünzen, David Grawe, Bernd Leitl (2019). AtMoDat (Atmospheric Model Data) - creation of a model standard for obstacle resolving models.
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Dissemination