Associated Partners
30.07.2026
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Institutions affiliated with the consortium through a lightweight partnership model.
Institutions affiliated with the consortium through a lightweight partnership model.
Co-Applicants TU Darmstadt Applicant institution BAM Co-Applicant institution DLR Co-Applicant institution FZJ Co-Applicant institution KIT Co-Applicant institution LU Hannover Co-Applicant institution RWTH Aachen Applicant institution
Participants Co-Applicants Institutions that contributed to the proposal and lead designated tasks within the project work programme. Participants Individuals and institutions participating in the project
Archetypes Tackling diverse user requirements The engineering sciences are a highly heterogeneous community, with a large number of specialised research (sub-)areas ranging from Architecture all
Alex’ Knowledge Base offers a clear and practical entry point into the work of the NFDI4ING task area addressing challenges connected to one-of-a-kind, highly-variable experiments. It not only showcases the developed tools and services but also provides helpful guides and workflow recommendations. It’s a useful starting point for researchers fitting the Archetype Alex looking for support in navigating their research data management tasks.
Governance NFDI4ING is governed through a clear division of responsibilities. The Co-Spokespersons’ Assembly oversees the consortium, the Executive Board leads strategic and operational work, and
Work Programme Engineering research is highly diverse, but many data management challenges occur across disciplines. Rather than organising the consortium around individual engineering fields, NFDI4ING
Publications Listed below you find the most recent results from NFDI4ING in chronological order. We are working on making this list more user friendly (i.e.