Research data management concerns the responsible collection, processing, storage, filing and removal of both digital and physical (research) data, used during (research) activities at Hasselt University. Qualitative research data management implies that the research data is findable, accessible, interoperable and, when possible, reusable for both humans and computer systems. This not only facilitates future research based on (a combination of) existing data sets, but it is also important to demonstrate the originality of the research data in the context of valorisation, plagiarism, etc.
According to the FAIR principles, as formulated by FORCE 11, Open Data, i.e. research data that are freely available to the broad public, have to be:
- Findable: easy to find by both humans and computer systems through the mandatory description of metadata that allows the discovery of interesting datasets;
- Accessible: kept durable on the long term so that data are easy accessible and/or can be downloaded under well-defined licenses and using accessibility conditions with regards the metadata, or the actual data content;
- Interoperable: easily combined with other datasets by humans and computer systems;
- Reusable: ready to be reused in future research and thus to be further processed using computational methods.
by Karen Hanson, Alisa Surkis, Karen Yacobucci, NYU Health Sciences Libraries, August 3, 2012 (Last update: December 12, 2012).