Data story: qualitative FAIR data management
FAIR is a set of principles for data management which promote transparency and accessibility in science. Qualitative research can benefit from it.
FAIR is a set of principles for data management which promote transparency and accessibility in science. Qualitative research can benefit from it.
Join the upcoming FAIR Coffee Lecture, where Peter Prinsen will give a presentation entitled “Making the Netherlands Cancer Registry more FAIR”.
Don’t miss this opportunity to explore Open Science and the FAIR principles and find inspiration in the work of others.
Interested to learn about Research Data Management? Register for the Introduction to Research Data Management workshop on 18 September.
Explore FAIR metrics directly on scholarly websites using the FAIR browser extension, simplifying interaction with the FAIR landscape.
Interested to learn about Research Data Management? Register for the Introduction to Research Data Management workshop on 11 January.
Check out last week’s Library+ Research update on Research Data Management
This past summer, researchers learned how to close the circle and achieve data sustainability following the FAIR principles of RDM.
Metadata play an essential role in making your research data FAIR (Findable, Accessible, Interoperable and Reusable). In the metadata video below you can learn what metadata are, what types of metadata exist and why metadata are important.
At Maastricht University, we offer a number of tools to help researchers manage their research data. One of these tools is DataverseNL. Not heard of DataverseNL yet? Then get to know the tool with a few basic questions.