The University Library’s Research Data Management (RDM) support services guide researchers in handling their data responsibly throughout the research life cycle, from planning to sharing and preserving data. Learn more about these services and how UM researchers experience them.
Join this session to translate insights, experiences, and needs with regards to the archiving and publishing of SSH research data into actionable plans for improvement of such data deposit workflows.
We are excited to announce the relaunch of our community meetings to discuss Research Data Management (RDM) topics.
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”.
Join the “Introduction to Reproducibility with Python” workshop on 7 May.
Join us for the upcoming Research Data Management (RDM) Community meeting on 11 June from 12.30 to 14.00.
Research software’s importance has grown across disciplines, since it is a central component when doing science in the digital age.
DataverseNL, a repository available to UM researchers, provides a demo site for testing. Ideal for exploring its features and functionalities.
Don’t miss this opportunity to explore Open Science and the FAIR principles and find inspiration in the work of others.