NFDI4DS is a national research data infrastructure for Data Science and AI project. The overarching objective of the project is the development, establishment, and sustainment of a national research data infrastructure (NFDI) for the Data Science and Artificial Intelligence community in Germany.
| Manager(s) |
Stefan Decker |
| Funding | |
| Status | Running |
| Website | https://www.nfdi4datascience.de/ |
The vision of NFDI4DataScience (NFDI4DS) is to support all steps of the complex and interdisciplinary research data lifecycle, including collecting/creating, processing, analyzing, publishing, archiving, and reusing resources in Data Science and Artificial Intelligence.
The project is composed of several partners, including the Information Systems & Databases department (Lehrstuhl Informatik 5) of RWTH Aachen University, who act as co-spokespersons and participants in NFDI consortia.
The NFDI4DS work program consists of 6 task areas and RWTH is contributing to Task Area 2: research Knowledge Graphs aims at improving FAIRness of Data Science artefacts including research datasets, benchmarks, machine learning models and research software (code and executables). The RWTH co-spokesperson and participants in the NFDI4DataScience are Dr. Sulayman K. Sowe and Dr. Christoph Lange.
For more information visit the project website: https://www.nfdi4datascience.de/