Home // Research // Big Data Analytics and Engineering // Open Data and Open Models // Projects // NFDI Projects

NFDI Projects

ScaDS.AI Dresden/Leipzig is involved in a number of NFDI projects, including:

FAIRmat

The consortium FAIRmat aims to build a research data infrastructure based on the FAIR principles (Findable, Accessible, Interoperable, Reusable) for condensed-matter physics and the chemical physics of solids. By integrating synthesis, experiment, theory, computations and applications, FAIRmat will substantially advance the basic physical sciences, reaching out to chemistry, engineering, industry, and society. Further information is available on the project website.

Team

NFDI4BioImage

The consortium NFDI4BioImage aims to build a research data infrastructure based on the FAIR principles (Findable, Accessible, Interoperable, Reusable) for microscopy and bio-image analysis. NFDI4BIOIMAGE primarily addresses the special challenges associated with the large amounts of high-dimensional image data generated by modern microscopy. Further information is available on the project website.

Team

NFDI4Chem

The consortium NFDIChem aims to build a research data infrastructure based on the FAIR principles (Findable, Accessible, Interoperable, Reusable) for chemistry. NFDI4Chem focuses on molecules and data for their characterization and reactions, both experimentally and theoretically. Further information is available on the project website.

Team

NFDI4DataScience

The consortium NFDI4DataScience aims to build a research data infrastructure based on the FAIR principles (Findable, Accessible, Interoperable, Reusable) for Data Science and Artificial Intelligence. In the initial phase, NFDI4DS will focus on four Data Science-intense areas of application: language technology, biomedical sciences, information sciences and social sciences. Further information is available on the project website.

Team

NFDI4Earth

The consortium NFDI4Earth aims to build a research data infrastructure based on the FAIR principles (Findable, Accessible, Interoperable, Reusable) for Earth System Sciences. NFDI4Earth is community-driven, providing researchers with coherent and open access to all relevant Earth System data, innovative research data management and data science methods. Further information is available on the project website.

Team

NFDI4Health

The consortium NFDI4Health aims to build a research data infrastructure based on the FAIR principles (Findable, Accessible, Interoperable, Reusable) for personal health data. The collection and analysis of these data are an essential component for the development of new therapies, comprehensive care approaches and preventive measures within a modern healthcare system. Further information is available on the project website.

Team

Further NFDI Projects with participation of TU Dresden and Leipzig University

funded by:

Gefördert vom Bundesministerium für Bildung und Forschung.

ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig.