News archive
Category: RDM portal
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.
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FAIR Coffee Lecture – Peter Prinsen (IKNL)
Join the upcoming FAIR Coffee Lecture, where Peter Prinsen will give a presentation entitled “Making the Netherlands Cancer Registry more FAIR”.
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Last spots available for the workshop “Introduction to Reproducibility with Python.”
Join the “Introduction to Reproducibility with Python” workshop on 7 May.
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Research Data Management Community Meeting – The Role of NWO in Accelerating Open Science Implementation
Join us for the upcoming Research Data Management (RDM) Community meeting on 11 June from 12.30 to 14.00.
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Highlights 2023 – From a research perspective
Last month, we presented the Highlights 2023 of the Maastricht University Library. In this article, we would like to provide a brief overview of our achievements from the past year regarding research support.
…Data story: Research Software at Maastricht University
Research software’s importance has grown across disciplines, since it is a central component when doing science in the digital age.
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Explore and test features of DataverseNL via its demo environment
DataverseNL, a repository available to UM researchers, provides a demo site for testing. Ideal for exploring its features and functionalities.
…FAIR Coffee Lecture: “Pandemic Science, Open Science and Research Quality”
Don’t miss this opportunity to explore Open Science and the FAIR principles and find inspiration in the work of others.
…Open eScience Call (OEC) 2024 to advance research with the support of Research Software Engineers (RSEs)
Great opportunity for researchers across disciplines. Advance your research with support of experienced research software engineers from the eScience Center.
…Data story: DataverseNL at Maastricht University – Usage Insights
DataverseNL: a data repository platform available to Maastricht University researchers, fostering FAIR data practices.
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