
FAIR DO – JAX-Fluids Dataset
A new CFD dataset illustrates how FAIR digital objects are used in NFDI4ING to provide documented simulations, configs, logs, and metadata in a neat, re-useable package.

A new CFD dataset illustrates how FAIR digital objects are used in NFDI4ING to provide documented simulations, configs, logs, and metadata in a neat, re-useable package.

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.

The NFDI4ING conference 2025 focused on advancing FAIR data practices and infrastructures in the engineering sciences. Cross-disciplinary collaboration, leveraging AI, and discussing pathways to discipline standards in research data management were key topics in the conference situated at the picturesque Georg-Christoph-Lichtenberg-Haus in Darmstadt.

The NFDI4ING conference 2025 will take place on September 15th/16th in Darmstadt. Registration and CfP are now live!

The Conference on Research Data Infrastructures (CoRDI) 2025 was a great experience. NFDI4ING members and grant recipients share their experiences, personal insights, key moments, and reflect on the discussions that shaped the event.

Join us on 9 September 2025 for „NFDI4ING & UASs“, a focused event for engineering researchers at Universities of Applied Sciences (UASs).

To make research data management more accessible in engineering, NFDI4ING offers grants to cover this year’s NFDI4ING Conference fee. The event takes place from 15 to 16 September 2025 in Darmstadt.

The call for contributions and registration for this year’s NFDI4ING conference is now open.

As part of the NFDI podcast our Speaker Peter Pelz goes deeper into research data management in engineering and talks about Data literacy as key to digital sovereignty.

From July 7–9, 2025, the first NFDI4ING Summer School took place on-site at TU Darmstadt, offering participants a hands-on introduction to research data management (RDM) in the engineering sciences.