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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
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File PDF document 2020_presentation_egu_voss
Voss, Vivien; Schlünzen, K. Heinke; Grawe, David (2020). Assessment of heterogenity of air pollution within an urban canopy. DOI: https://doi.org/10.5194/egusphere-egu2020-2822
Located in Dissemination
File PDF document A discipline specific quality standard for atmospheric model data
AtMoDat (2019). A discipline specific quality standard for atmospheric model data. v1.0
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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.
About AtMoDat
AtMoDat at GitHub
The AtMoDat project now has an own GitHub project in which drafts and products are published.
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AtMoDat at the #vBIB20
Anette Ganske (TIB) presented the Data Maturity Index (coauthors Daniel Heydebreck and Angelina Kraft), which has been developed within the AtMoDat project, at the #vBIB20.
Located in News & Events
AtMoDat at the EGU Sharing Geoscience Online 2020
Vivien Voss (UHH) and Daniel Neumann (DKRZ) presented work done within the AtMoDat project at the EGU's "Sharing Geoscience Online" 2020.
Located in News & Events
AtMoDat at the IDCC 2020
Daniel Neumann (DKRZ) presents the concept of a generic quality indicator at the IDCC 2020 conference in Dublin, Ireland. Have a look at the poster or follow the conference.
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