Research Data Management (under construction)
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The pages in this menu are devoted to Research Data Management (RDM) practices.
Open access to research outputs has been at the heart of university thinking for many years. One of the aims of the Open Science movement is to make the results of research more visible and accessible to everyone, but also more redistributable and reusable. These results are not just scientific publications. Scientific research also creates unique data sets that can also be part of this movement.
Data management is a fundamental element of the research environment and of the Open Data movement. Indeed, for open data to be useful (i.e. reusable) it must follow a certain number of management "best practices". These are known as the "FAIR" principles of research data management.
These good management practices cover all the stages in the life cycle of research data. The Data Management Plan allows you to think about them upstream of the research project and to plan them.
While the drafting of a Data Management Plan and the management of data in accordance with the FAIR principles are increasingly required by funding bodies and scientific journals, they also offer many advantages for researchers.
These are presented in this section. In order to support researchers in implementing these practices, UCLouvain has developed this website, which contains a large number of good practices, tips and resources concerning data management at every stage of a research project.
(Illustration : Annette Strauch. (2020). Research Data Management (Logo). CC BY 4.0. Zenodo. https://doi.org/10.5281/zenodo.3820597).