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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
Conference Contribution: ITM, September 2019
Contributions of AtMoDat project partners to the 37th International Technical Meetings (ITM) on Air Pollution Modelling and its Application.
Located in Dissemination / Conference Contributions
AtMoDat at the ITM Conference 2019
Vivien Voss (University of Hamburg) presented the AtMoDat project at the International Technical Meetings (ITM) on Air Pollution Modelling and its Application in Hamburg. She also advertised a survey on urban scale atmospheric modeling.
Located in News & Events
File PDF document 2019_poster_itm_vv
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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File PDF document 2019_abstract_item_vv
Vivien Voss, Heinke Schlünzen, David Grawe, Bernd Leitl (2019). AtMoDat (Atmospheric Model Data) - creation of a model standard for obstacle resolving models.
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.
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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.
Located in News & Events