This event is only open to KU Leuven researchers and staff.
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).
This training is mainly aimed at doctoral researchers, preferably at the start of their PhD or project. Sessions are organized per group:
Registration is possible up until 1 week prior to the planned training.
Please contact firstname.lastname@example.org if you have a question or consult the website.