RDM covers a wide range of subjects, with extensive information that requires practical implementation. Within KU Leuven, there are training sessions specifically designed to cultivate practical RDM skills. For researchers within the field of Humanities and Social Sciences, we recommend this upcoming training session to get yourself acquainted with RDM.
These events are only open to KU Leuven researchers and staff
Program
Research data management (RDM) refers to how you handle your data during and after your research project to ensure they are well organized, structured, of high quality and Findable, Accessible, Interoperable and Reusable (FAIR). During this session you will learn best practices for the management of research data according to the FAIR data principles. We consider the technical, legal, and ethical aspects of research data, secure storage of materials, documentation and metadata, research data sharing, reusing data shared by others, and more. This solid grounding in basic RDM skills will help you make informed decisions on how to handle your research data. Additionally, you will learn how to write and maintain your own Data Management Plan (DMP).
The training consists of two parts:
- A short general introduction on Research Data Management (20’ – 25’)
- Followed by small interactive group sessions, where participants dicuss their Data Management Plan (DMP), under the guidance of an RDM expert.
Practicalities
- When: December 1, 2025 from 14:00 to 16:00
- Where: Online
- For who: This training is mainly aimed at doctoral researchers, preferably at the start of their PhD or project.
- Price and registration: Free but mandatory
- More info: Click here
