Kompetenzen von Data Stewards an österreichischen Universitäten

Alexander Gruber; Hermann Schranzhofer; Sabrina Knopper; Sarah Stryeck; Ilire Hasani-Mavriqi

doi:10.31263/voebm.v74i1.6255

Authors

Alexander Gruber Graz University of Technology, Institute of Interactive Systems and Data Science https://orcid.org/0000-0002-4244-3446
Hermann Schranzhofer Graz University of Technology, Institute of Interactive Systems and Data Science https://orcid.org/0000-0003-0249-2726
Sabrina Knopper Graz University of Technology, Institute of Interactive Systems and Data Science https://orcid.org/0000-0002-4086-4028
Sarah Stryeck Graz University of Technology, Institute of Interactive Systems and Data Science https://orcid.org/0000-0001-7524-6038
Ilire Hasani-Mavriqi Graz University of Technology, Institute of Interactive Systems and Data Science https://orcid.org/0000-0003-0758-0805

DOI:

https://doi.org/10.31263/voebm.v74i1.6255

Keywords:

Research Data Management, Data Stewards, Competencies

Abstract

In April 2021, the project members of „FAIR Data Austria“ met for a joint workshop to identify the competencies of data stewards and map them to predefined data steward models. These models and corresponding data steward profiles and tasks were developed in a previous workshop in October 2020 for the Austrian context. The workshop participants expanded competencies identified in advance to include new competencies, and/or new aspects were added or specified. In breakout sessions, the individual models were filled with the appropriate competencies from the competence pool and discussed in the plenary. Data stewards of TU Graz gave insights into their current work and explained which competencies, in their opinion, are needed. In the next step, suitable training modules will be established from the collected information tailored to the individual models. At the end of the project, a self-assessment toolkit will be developed that considers all aspects of data stewardship and provides guidance to research institutions on which model is most suitable for them.

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References

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