Research Data Management
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The pages in this menu are dedicated to Research Data Management (RDM) practices.
Open access to research outputs has been a central concern in universities for many years. One of the goals of the Open Science movement is to make the results of research more visible and accessible to everyone, but also more sharable and reusable. These results are not limited to scientific publications : research also creates unique datasets that can 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 set of management "best practices". These are known as the "FAIR" principles of research data management.
These good management practices cover all stages of the research data lifecycle. The Data Management Plan allows researchers to consider and plan these practices early in the research project.
While drafting a Data Management Plan and managing data according to the FAIR principles are increasingly required by funding agencies and scientific journals, they also offer many benefits to researchers.
These benefits are presented in this section. To support researchers in implementing these practices, UCLouvain has developed this website, which contains a wide range of best practices, tips and resources related to 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).