Author: Thorsten Schwetje

NFDI4Ing provides infrastructure, best practices and templates to make research software and its development more replicable and reproducible while improving the quality of the written code. For the further improvement of the our RDM knowledge base and our JupyterHub prototype, we are looking for your collaboration and input!

With our benchmark suite we investigated object storages. Based on the results, we compiled usage guidelines to improve transfer speeds and continuously monitor connection quality.

In his recently published doctoral thesis, Nico Brandt analyses various use cases from the engineering sciences and discusses the development of a suitable research data infrastructure.

In its last meeting on April 12th, the NFDI Consortia Assembly approved three further basic service initiatives NFDI4Ing is heavily involved in: DMP4NFDI, Jupyter4NFDI, KGI4NFDI.