Description
In a data-driven world, data literacy and research data management (RDM) are essential skills that students in physics should acquire early in their studies. However, integrating these topics into the curricula of universities in dedicated courses with their own credit hours is challenging. Adapting existing courses in the physics curriculum to include the teaching of research data management skills has been shown by FAIRmat PIs to be a successful approach. The integration of the use of programming languages for data handling and analysis as well as the introduction of Electronic Lab Notebooks for data documentation in practical courses have been implemented at the physics departments of the Humboldt Universität zu Berlin and the Friedrich-Alexander-Universität of Erlangen- Nürnberg.
Recognizing the common challenges and opportunities in RDM education, FAIRmat has initiated a collaboration within the Physical Sciences in NFDI (PSinNFDI) group to establish a common platform for collaboration on this topic. In the kick-off meeting (November 2023), exemplary approaches were presented and challenges of RDM implementation at German universities were discussed. The main outcome was the establishment of a collection process for educational materials and approaches offered within the PSinNFDI and beyond.
This session will present the results and progress of the PSinNFDI collaboration. We will discuss methods of implementing RDM education in university courses and how NOMAD can be introduced as a tool for RDM in different contexts. The discussion will focus on sharing experiences, identifying common challenges and possible solutions, exploring opportunities for collaboration, and sharing knowledge and resources.