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AtMoDat Kickoff Meeting at the DKRZ
The AtMoDat kickoff meeting took place at the DKRZ on June 20th/21st. The project team from University of Hamburg, University of Leipzig, Technische Informationsbibliothek Hannover and the German Climate Computing Center met to discuss and plan details of the project-related activities of the next months.
Located in News & Events
About AtMoDat
The exchange and interpretation of climate model data is of importance far beyond the climate research community, but is currently hampered by the lack of comprehensive quality assurance measures and coordinated curation criteria. In meteorology and climate research, data quality and data curation standards are primarily established and applied in large, internationally coordinated model comparison studies (MIPs, e.g. Coupled Model Intercomparison Project - CMIP). However, quality assured data and transparent curation criteria are important to ensure effective partial and subsequent usability of research data by other research communities and public authorities. In this context, the AtMoDat project (Atmosphären-Modelldaten: Datenqualität, Kurationskriterien und DOI-Branding) focusses on two aspects. (a) CMIP data standards will be adapted to the needs of smaller MIPs and to urban-scale climate research. (b) The existing DataCite meta data schema will be extended to hold information on discipline-specific quality checking of the published data. Two nationally and internationally strongly networked partners from climate research (University of Hamburg, University of Leipzig), an infrastructure operator from climate research (DKRZ) and the Technische Informationsbibliothek (TIB) Hannover form the AtMoDat consortium.
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: AGU, December 2019
Contributions of AtMoDat project partners to the American Geophysical Union (AGU) Fall Meeting 2019.
Located in Dissemination / Conference Contributions
Conference Contribution: IDCC, February 2020
Contributions of AtMoDat project partners to the International Digital Curation Conference (IDCC) 2020 in Dublin.
Located in Dissemination / Conference Contributions
File PDF document 2019_talk_agu_kp
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
News & Events
News of the AtMoDat project
File PDF document 2019_abstract_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
File PDF document 2020_abstract_idcc
Peters, Karsten; Neumann, Daniel; Thiemann, Hannes (2019). Towards increasing the reusability of atmospheric model data: adapting metadata standards and introducing quality criteria.
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