Open Research Knowledge Graph
Document-based workflows in science have reached (or already exceeded) the limits of adequacy, as demonstrated, for example, by recent discussions about the proliferation of scientific literature and the reproducibility crisis. Although digital access to scientific publications has greatly improved in recent decades, even now that the papers are digitized, they remain document-based, making it difficult …
NFDI for Engineering Sciences
Engineering sciences play a key role in developing solutions for the technical, environmental, and economic challenges imposed by the demands of our modern society. The associated research processes and the solutions themselves will only be sustainable if being accompanied by a proper research data management (RDM) that implements the FAIR data principles: data has to …
find.software
The goal of this project is to establish a community-driven, Wikidata-based knowledge graph that makes interdisciplinary research software easily discoverable, describable, and reusable. We aim to lower the barriers for both software users and developers by providing intuitive workflows and tools that integrate seamlessly with existing research practices.
Vision Videos in RE
The goal of this project is to investigate the potential of (interactive) vision videos in requirements engineering. The aim is to develop an approach to integrate vision videos into requirements engineering practice in such a way that software professionals can easily produce and use them. A special focus is to lower the inhibition threshold of …
FAIR Data Spaces
Innovation in Germany and beyond requires a better transfer of knowledge between science and industry. The first basic initiatives for this are already underway. On the one hand, the National Research Data Infrastructure (NFDI) networks research data and makes them more usable across all scientific disciplines. Second, GAIA-X is creating a secure and federated data …