EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Managing collaborative research data for integrated, interdisciplinary environmental research

Michael Finkel1, Albrecht Baur2, Tobias K.D. Weber3, Karsten Osenbrück1, Hermann Rügner1, Carsten Leven1, Marc Schwientek1, Johanna Schlögl1, Ulrich Hahn2, Thilo Streck3, Olaf A. Cirpka1, Thomas Walter2, and Peter Grathwohl1
Michael Finkel et al.
  • 1University of Tuebingen, Center for Applied Geoscience, Tuebingen, Germany
  • 2University of Tuebingen, Central Data Administration, Department of Informatics, Tuebingen, Germany
  • 3University of Hohenheim, Institute of Soil Science and Land Evaluation, Stuttgart, Germany

The consistent management of research data is crucial for the success of long-term and large-scale collaborative research. Research data management is the basis for efficiency, continuity, and quality of the research, as well as for maximum impact and outreach, including the long-term publication of data and their accessibility. Both funding agencies and publishers increasingly require this long term and open access to research data. Joint environmental studies typically take place in a fragmented research landscape of diverse disciplines; researchers involved typically show a variety of attitudes towards and previous experiences with common data policies, and the extensive variety of data types in interdisciplinary research poses particular challenges for collaborative data management.We present organizational measures, data and metadata management concepts, and technical solutions to form a flexible research data management framework that allows for efficiently sharing the full range of data and metadata among all researchers of the project, and smooth publishing of selected data and data streams to publicly accessible sites. The concept is built upon data type-specific and hierarchical metadata using a common taxonomy agreed upon by all researchers of the project. The framework’s concept has been developed along the needs and demands of the scientists involved, and aims to minimize their effort in data management, which we illustrate from the researchers’ perspective describing their typical workflow from the generation and preparation of data and metadata to the long-term preservation of data including their metadata.

How to cite: Finkel, M., Baur, A., Weber, T. K. D., Osenbrück, K., Rügner, H., Leven, C., Schwientek, M., Schlögl, J., Hahn, U., Streck, T., Cirpka, O. A., Walter, T., and Grathwohl, P.: Managing collaborative research data for integrated, interdisciplinary environmental research, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8638,, 2020


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