Nationale Forschungsdateninfrastruktur (NFDI) e.V.

The NFDI systematically indexes and networks valuable scientific and research data for the entire German scientific system and makes it available for sustainable and qualitative use. Until now, they have mostly been available on a decentralized, project-related or temporary basis. Effective research data management strengthens the exchange between different disciplines and Germany as a science location. It enables the systematic handling of big data and the use of artificial intelligence. It also simplifies the responsible sharing of data between science and industry or at an international level. NFDI is intended to create a permanent digital knowledge repository as an indispensable prerequisite for new research questions, findings and innovations. Relevant data should be made available in accordance with the FAIR principles (Findable, Accessible, Interoperable and Reusable).

Projects

FAIR-DS

The FAIR Data Spaces project created organisational, legal and technical building blocks for a shared, cloud-based data space for industry and research in compliance with the FAIR principles. The project combined the federated, secure data infrastructure Gaia-X and NFDI to create a shared, cloud-based data space for industry and research in compliance with FAIR-principles.

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Research Groups

Distributed Analytics

Mehrshad Jaberansary

Our Distributed Analytics (DA) team focuses on enabling privacy-preserving machine learning on sensitive medical patient data. We develop technologies that allow institutions to collaboratively analyze patient data - such as electronic health records or imaging data - without the need to centralize it. This is particularly crucial in healthcare settings, where data privacy and sovereignty are paramount. [...]

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