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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.
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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
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
File PDF document 2020_abstract_egu
Neumann, Daniel; Ganske, Anette; Voss, Vivien; Kraft, Angelina; Höck, Heinke; Peters, Karsten; Quaas, Johannes; Schluenzen, Heinke; Thiemann, Hannes (2020). AtMoDat: Improving the reusability of ATmospheric MOdel DATa with DataCite DOIs paving the path towards FAIR data.
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File PDF document 2020_abstract_egu_neumann
Neumann, Daniel; Ganske, Anette; Voss, Vivien; Kraft, Angelina; Höck, Heinke; Peters, Karsten; Quaas, Johannes; Schluenzen, Heinke; Thiemann, Hannes (2020). AtMoDat: Improving the reusability of ATmospheric MOdel DATa with DataCite DOIs paving the path towards FAIR data. DOI: https://doi.org/10.5194/egusphere-egu2020-8463
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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.
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File PDF document 2020_abstract_rda_ger
Ganske, Anette; Neumann, Daniel; Kraft, Angelina; Thiemann, Hannes; Höck, Heinke; Lammert, Andrea (2020). AtMoDat (Atmosphärische Modelldaten) weist Datenproduzenten den Weg zu besserer Qualität und mehr FAIRness.
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File PDF document 2020_poster_rda_ger
Ganske, Anette; Neumann, Daniel; Kraft, Angelina; Thiemann, Hannes; Höck, Heinke; Lammert, Andrea (2020). AtMoDat (Atmosphärische Modelldaten) weist Datenproduzenten den Weg zu besserer Qualität und mehr FAIRness.
Located in Dissemination
File PDF document 2020_presentation_egu_neumann
Neumann, Daniel; Ganske, Anette; Voss, Vivien; Kraft, Angelina; Höck, Heinke; Peters, Karsten; Quaas, Johannes; Schluenzen, Heinke; Thiemann, Hannes (2020). AtMoDat: Improving the reusability of ATmospheric MOdel DATa with DataCite DOIs paving the path towards FAIR data. DOI: https://doi.org/10.5194/egusphere-egu2020-8463
Located in Dissemination
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.