FAIR Implementation Profile: A Strategic Framework for Advancing Research Data Management in Brazil

Abstract

The rapid growth in the volume of scientific data demands management practices that prioritize transparency, interoperability, and reuse. The FAIR Principles (Findable, Accessible, Interoperable, Reusable) have become an international reference for the organization and dissemination of research data, but their implementation is challenging due to divergent interpretations and the lack of context-specific solutions. To overcome these obstacles, the GO FAIR Foundation developed the FAIR Implementation Profiles, an approach that enables communities to collectively document technical, methodological, and organizational decisions in the process of making data FAIR. This article aims to present a conceptual and practical overview of the FAIR Implementation Profiles and the supporting tool FIP Wizard, highlighting their contribution to standardization and interoperability. Furthermore, it discusses the strategic proposal of the GO FAIR Brazil initiative for the national adoption of FAIR Implementation Profiles, based on ten practical actions. The methodology followed a qualitative approach, based on literature review and document analysis, with an emphasis on conceptual and practical descriptions related to the topic. The study concludes that the FAIR Implementation Profiles represent a significant advancement in strengthening research data governance by promoting the convergence of practices and alignment with open science.