Effective Research Data Management: From FAIR principles to Open Science

The pace and unpredictability of research often leave little room for thorough documentation and metadata annotation. Yet, effective Research Data Management (RDM) is essential to ensure the reliability, reproducibility, and long-term value of research outputs. Central to RDM are the FAIR data principles—making data Findable, Accessible, Interoperable, and Reusable—which should be embedded across all stages of the data lifecycle. In parallel, RDM is a cornerstone of Open Science, a movement that fosters transparency, collaboration, and equitable access to scientific knowledge. By integrating FAIR and Open Science practices into everyday research, researchers not only increase the visibility and impact of their work but also contribute to a more robust and inclusive scientific ecosystem.