Research Data Management (RDM) refers to the way research data is managed throughout a research project. RDM is an essential skill for researchers from all disciplines and in all settings.
Find out what's in it for you and get familiar with the Hasselt University RDM policy plan, funder requirements and publishers’ policies.
RDM in my research
Responsible and qualitative research data management does not stop with writing a state-of-the-art Data Management Plan. On the contrary, in all phases of the research cycle, efficient management of research data is an implicit part of good and integer research.
Plan | Collect | Process & Analyse | Preserve | Share & Reuse
Extra links: Ethical | Security | FAIR | ELNs
Data Management Plan
A data management plan (DMP) is a dynamic document in which you write down your intentions concerning data management during your research. Creating a DMP helps you to reflect on how you will collect and process data, where you will store them, which security measures you should provide, which costs you should consider, etc.
Hasselt University and PXL researchers can brush up their data management knowledge through (basic or advanced) RDM training sessions. Furthermore, a list of tools and manuals is available to make research data management easier.
Training | Course Material | Calendar | Tools | FAQ
You can contact us via email@example.com or you can contact a specific data steward.
Find out here which data steward is responsible for which faculty, school, institute or centre or technical RDM questions at Hasselt University.
The UHasselt metadata repository for research data
As a UHasselt researcher, you are expected to upload the metadata of the datasets underlying your peer-reviewed publications. This can be done via the UHasselt metadata repository that has been integrated into the Document Server. Loading the metadata can be done in just 3 simple steps. By doing so you can score on the FAIR principles and comply with your funder's requirements.