nEWS & EVENTS
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This NFDI4ING RDM Basics for Engineers series provides a practical introduction to research data management in the engineering sciences, combining basic concepts with hands-on exercises.
Our collaboratively developed service Kadi4Mat is organizing a community workshop from April 20 to April 22.
The HeFDI Code School offers a hands-on introduction to essential digital research skills, with a focus on Python programming and Jupyter Notebooks.
NFDI4ING invites engineers and researchers to the NFDI4ING Summer School 2026, a practice-oriented training on modern research data management in engineering sciences. The summer school combines online preparatory courses with an intensive on-site workshop in Darmstadt.
We're looking forward to taking part in the upcoming 3rd annual conference of our sister consortium NFDI4Energy, held on 24–25 March 2026 in Aachen, Germany. NFDI4ING will be presenting results of collaborative work in NFDI4ING and NFDI4Energy.
Join the NFDI-RFC development team in Karlsruhe from March 9–10, 2026, for a hands-on workshop introducing the NFDI-RFC standardisation concept: a platform designed to advance community-driven standardisation in research data management.
The 6th Conference for Research Software Engineering in Germany - deRSE 2026 - will take place on 3-5 March in Stuttgart with the support of NFDI4ING. We're looking forward to seeing you there!
We cordially invite you to the NFDI4ING Community Meeting “Construct Tomorrow with Software” – an exchange format specifically aimed at research software engineers (RSEs) affiliated with the engineering sciences. This Community Meeting is a satellite event of the Conference deRSE26.
NFDI4ING prepares for its first All-Hands meeting in the 2nd funding period. As with previous meetings, the All-Hands will provide a valuable forum for exchange, networking, and joint planning.
NFDI4ING is entering its second funding period! The kick-off event marks an important milestone for the consortium and its partners as we continue to advance research data management in the engineering sciences.