Getting and staying in touch with the community is the essence of NFDI4Ing. That’s why the consortium offers a broad variety of exchange formats like community meetings, conferences, and workshops. To meet the needs of the community, we continuously work

It was a close contest, but in the end two nominees prevailed in the NFDI4Ing Awards 2022 against 41 other contributors. We happily congratulate the winners, Wendy (Pengyin) Shan from the University of Alberta Library in Canada, and Rory Macneil

Virtually all scientific output is communicated through text publications, only suitable for humans and precluding searches beyond simple text matching. By contrast, SciMesh disseminates results as machine-actionable, comprehensive knowledge graphs.

The NFDI4Ing Task Area DORIS designs transferable research-data management concepts and tools for data from high-performance measurement and computation (HPMC), enables, and supports the community to apply these solutions. In order to standardize and facilitate RDM for our peer group,

Manual development and maintenance of ontologies are tedious tasks and require extra training to use ontology modelling tools. Therefore, a semi-automatic process to enrich ontologies can assist domain experts, who are not necessarily ontology experts, to map knowledge into ontologies.

In recent years, concepts, tools and services have been developed that enable good research data management. However, in most disciplines there are not yet any established standards. See how we want to solve this issue for the community.

The workgroup Identity and Access Management finished a first analysis of requirements towards authentication and authorization infrastructures and proposed an AAI architecture for the whole NFDI. Results are available on the continuously updated documentation website.

The availability of terminologies is a critical component of research data management. Without terminologies, meaningful descriptions of research data would not be possible, and the reusability of these data and associated information would be compromised. Accordingly, researchers and funding agencies

The NFDI4Ing task area BETTY envisions a future in which the engineering sciences produce verified, high-quality software that can be reused and extended. Betty wants to identify and provide the missing tools, teaching material and recommendations to make that vision

For most researchers, working with code is common practice. However, many researchers lack knowledge and experience in how to write good code. In the Task Area Alex, we addressed this problem and developed a set of guidelines currently being tested