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

• Autor(a) principal: Groehs, Adriane
• Data de Publicação: 2023
• Outros Autores: Zurilda Silveira, Crislaine, Maria de Lima, Elaine, Dittrich, Eliane, Ramos Matos, Igor Yure, Ribeiro Junior, Divino Ignacio
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Em Questão (Online)
• Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/130018
• topic: dados de pesquisa; Princípios FAIR; repositório de dados; research data; FAIR principles; data repository

The funding agencies of developed countries began to require the deposit in open access also to research data, for this the data needed to meet requirements to allow its integrity, completeness, quality and correct description of the metadata. Thus FAIR (Findability, Accessibility, Interoperability, and Reusability) principles emerged, guidelines to improve the reuse of research data. Aiming to contribute to these discussions, this paper sought to verify the adoption of FAIR principles in datasets deposited in the LattesData repository, using the F-UJI tool. This tool was developed to automate the analysis of FAIR metrics. From the methodological point of view, this is a descriptive research, where 13 datasets available at LattesData were analyzed. The results obtained allow us to observe that the Findability principle was the best contemplated in the datasets, the Accessibility, Interoperability and Reusability principles need attention, because not all metrics were contemplated. We conclude that the LattesData repository has adopted the FAIR principles, but needs improvement. LattesData needs policies and guidelines that really ensure that the deposited data can be reused. F-UJI proved to be a practical and simple tool to use. The use of tools for research data management facilitates the implementation of good practices and quality datasets.