KNOWLEDGE SHARING & BEST PRACTISES
Research Data Management (RDM) is an increasingly important topic for Data Science researchers, both driven by requirements of funding agencies as well as changing legal requirements. RDM is important in the proposal phase, during execution of the project and after the project has finished. Several support staff functions are active in this domain, yet many researchers do not know well enough where and how to get help. Simultaneously some researchers bump into practical issues in their very specific projects that general guidelines do not sufficiently help for.