Research data management
Research data management (RDM) concerns the management of research data in a sustainable and open way. Research data management is an essential skill for any researcher: it boosts efficiency and ensures data integrity, promotes the reuse of data and increases the researcher's societal impact.
Guides and tools
How can I add metadata and document my data efficiently? When do I need to encrypt datasets? How do I estimate data storage costs?
Here you will find a number of comprehensive guides and useful tools available to researchers of Hasselt University.
Training and contact
Hasselt University provides a number of services to support researchers in their day-to-day RDM activities. Tailored advice and data management plan (DMP) review services complement the generic or thematic training sessions for junior and senior researchers.
RDM at the start of a research project
How do I incorporate RDM practices in my research? What are the data management requirements of research programmes? What are the challenges and pitfalls? Get started with research data management at Hasselt University using a step-by-step guide.
RDM during a research project
So your research project is up and running? Time to look back, evaluate your RDM approach and update your data management plan! In this section, you will find some important guidelines on following up on your research data management.
RDM at the end of a research project
How should I manage my data at the end of a research project? How can I store relevant research data in an open, discipline-specific repository and make my data citable? How do I transfer the managerial rights of my research data when leaving Hasselt University?