More and more digital research data are generated. So, new concepts are essential: In which data formats can data be stored in the long term? How and where can data be stored? Which information of the experiment / the simulation should be noted in the metadata? How can these data be made accessible for group members and other researchers? How can these data made findable for researchers and KI algorithms?
NFDI4Chem adresses these challenges of research data management in a user-driven approach. In order to implement the FAIR data priciples (findable, accessible, interoperable and re-usable) and to develop the best-suited infrastructure and services we need your insights!