FAIRprincipide

FAIRprincipide is a term that has emerged in discussions surrounding data management and scientific research. It is often associated with the principles of FAIR data, which stand for Findable, Accessible, Interoperable, and Reusable. The FAIRprincipide, therefore, refers to the underlying philosophy or core belief that underpins the adoption and implementation of these FAIR data guidelines.

At its heart, the FAIRprincipide emphasizes the importance of making research outputs, particularly data, readily available and usable by others. This facilitates scientific progress by allowing for independent verification, meta-analysis, and the building upon existing knowledge. The expectation is that researchers should strive to adhere to these principles throughout the data lifecycle, from creation and storage to sharing and archiving.

Adopting the FAIRprincipide involves a shift in mindset, moving away from data hoarding towards open science practices. It suggests a commitment to transparency and collaboration within the research community. While the FAIR principles themselves offer concrete technical and organizational guidelines, the FAIRprincipide represents the recognition of their value and the motivation to integrate them into research workflows. It is seen as a crucial element in maximizing the impact and return on investment for research funding and efforts.