Medical implants are essential for restoring health and quality of life, yet they remain vulnerable to complications such as wear, functional failure, and infections. These risks can compromise patient safety and treatment success. SIIRI addresses this challenge by developing safety-integrated and infection-reactive implants — implant systems that integrate safety mechanisms and can actively respond to infection risks.
The goal of SciD-QuESt is to empower researchers to transform scientific documents into structured, reusable knowledge — without requiring expertise in semantic technologies. By combining intuitive, questionnaire-based workflows with the power of large language models (LLMs) and human validation, the project lowers the barrier to contributing high-quality, FAIR metadata to infrastructures…
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.
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 to communicate the knowledge they contain.
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 be