The course teaches skills for the professional handling of digital research data. This can significantly increase both work efficiency and the quality of your data and helps you implement good scientific practices.
Topics include writing data management plans, dealing with metadata, and ways to publish research data as well as issues around data quality, data organization, and data storage. Additionally, legal aspects concerning the collection, processing and reuse of research data are explained. Ultimately, you are presented with a range of options for making your data Findable, Accessible, Interoperable, and Reusable (FAIR).
The course was created as part of the state initiative Hessian Research Data Infrastructures (HeFDI) and is aimed at students, doctoral candidates and researchers from all disciplines.
