EGU25-18890, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-18890
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research data management for numerical simulations in Earth-System Science
Klaus Getzlaff and Markus Scheinert
Klaus Getzlaff and Markus Scheinert
  • GEOMAR | Helmholtz Centre for Ocean Research Kiel, Information, Data and Computing Centre, Kiel, Germany

One of today's challenges is the effective access to scientific data either within research groups or across different institutions to increase the reusability of the data and therefore their value. While large operational modeling and service centers have enabled query and access to data via common web services, this is often not the case for smaller institutions or individual research groups. Especially the maintenance of the infrastructure and the simplicity of the workflows, in order to make the data and their provenance available and accessible, are common challenges for scientists and data management.

At GEOMAR there are several data steward positions to support RDM for special disciplines and formats. They are also connected across centres to work on common standards, e.g. the netcdf standard working group in the Helmholtz Earth and Environment DataHUB.

Here we will present the institutional approach on research data management for numerical simulations in earth system science. The data handling, especially the possibilities for data sharing, publication and access, which is in today’s focus, is realized by using persistent identifier handles in combinations with a modern http web server index solution and a THREDDS server allowing remote access using standardized protocols such as OPeNDAP, WMS. By cross-linking this into the central institutional metadata and publication repositories it allows the re-usability of the data by scientists from different research groups and backgrounds. In addition to the pure data handling the documentation of the numerical simulation experiments is of similar importance to allow re-usability or reproducibility and to provide the data which will be addressed too.

How to cite: Getzlaff, K. and Scheinert, M.: Research data management for numerical simulations in Earth-System Science, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18890, https://doi.org/10.5194/egusphere-egu25-18890, 2025.