Digitalization is changing day-to-day research practices across all fields of academic inquiry. This advancement leads to a growing number of research data collected, processed, analyzed, published and archived, almost exclusively, in digital systems. In this context, the term Research Data Management (RDM) refers to a range of activities and topics concerning the handling of digital research data.

Ever wondered what a data management plan is and why care to write one? Ever been unable to open a file, find the most recent version of a file, or worse, lost an important file? Regardless if small or big and transdisciplinary, all projects can generate enough (digital) research data to become confusing and susceptible to loss.

In the first part, this workshop provides foundational knowledge and best practices for handling digital research data. The second part builds on this with a practical introduction to tools and data structures used in the TRR259.