LattesData and the adoption of the FAIR Principles: an analysis using the F-UJI Automated FAIR Data Assessment Tool

Abstract

The funding agencies of developed countries have begun to demand the open-access deposition of research data, requiring compliance with standards that ensure data integrity, completeness, quality, and accurate metadata descriptions. As a response to this need, the FAIR principles - Findability, Accessibility, Interoperability, and Reusability have emerged as guidelines to enhance the reusability of research data. With the aim of contributing to these discussions, this article sought to assess the adoption of FAIR principles in datasets deposited in the LattesData repository, utilizing the F-UJI tool developed for automating the analysis of FAIR metrics. Methodologically, this is a descriptive research study in which 13 datasets available in the LattesData repository were analyzed.The results obtained indicate that the "Findability" principle was the most well-addressed in the datasets, suggesting that the data can be easily located and identified. However, the principles of "Accessibility," "Interoperability," and "Reusability" require more attention, as not all metrics associated with these principles were adequately met. In conclusion, it is observed that the LattesData repository has started to adopt the FAIR principles, albeit in a preliminary manner. There is a need for policies and guidelines to ensure that deposited data can be effectively reused. The F-UJI tool has proven to be a practical and straightforward tool for use in this context. The utilization of such tools for research data management can facilitate the implementation of best practices and the deposition of high-quality datasets. The implementation of good practices and the deposit of quality data sets.

Keywords:
research data; FAIR principles; data repository