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 Click Here Participants Click Here
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.
Services …for Complex Systems and model-based simulations “Hello, I’m Ellen. I’m an engineer who analyses complex systems comprising a large set of multidisciplinary interdependencies. Working
Services …for Data re-use, combination and enrichment “Hello, I’m Fiona. I’m an engineer who is leveraging existing data. When reusing an existing dataset, I have
Governance To meet its goals, the NFDI4ING consortium has implemented a governance structure alongside its functional setup. The role of the different organisational entities is