SHARP

The Collaborative Research Centre SHARP (TRR419) funded by the Deutsche Forschungsgemeinschaft (DFG) represents the first Collaborative Research Centre (CRC) in educational research and learning sciences in Germany, uniting the expertise of LMU Munich, TUM, the University of Augsburg, and the Leibniz Supercomputing Centre (LRZ). Researchers from psychology, educational science, medical education, as well as biology, chemistry, mathematics and physics education, and computer science will conduct rigorous research on the mechanisms of AI-supported personalisation of simulation-based learning.

The Information Infrastructure Project INF will develop the SHARP-specific part of the technical and data infrastructure. It will provide expertise and technology to ensure a state-of-the-art technical implementation of personalised simulations supported by artificial intelligence for experimental studies in the SHARP research projects. In addition, this project will offer expertise and technology to establish and maintain an advanced research data management (RDM) based on the FAIR principles. Finally, the information infrastructure project will facilitate the data science literacy of researchers in the CRC.

LRZ develops the RDM and Video Streaming systems in SHARP-INF, leveraging its experience in these two areas. It also gives general guidance on RDM.

The challenge and focus is on supplying video-streaming and RDM systems in a setting of live data taking in the learning sciences. We support the scientists with bare data management and archival, but our ambition goes beyond that: We aim at providing workflows such that metadata are recorded for each study already from the data-taking time onwards, and that study data products can be consistently prepared for publication via subject-specific data repositories and via the Open and FAIR Data portals of the participating universities. Thus, we support a consistent Open Science approach in SHARP.