FAIRness levels in the Aleia and Deposita Dados data repositories
DOI:
https://doi.org/10.18225/ci.inf.v53i3.7214Keywords:
research data, FAIR principles, Open Science, data repositoryAbstract
Research data repositories seek to disseminate and preserve data. These, in turn, need to follow best practices, such as the FAIR principles, to maximize their benefits. The objective of this work is to evaluate the FAIRness levels of the datasets deposited in the Aleia and Deposita Dados repositories. This is a descriptive study. The F-UJI tool was used for the automatic evaluation of the datasets. It was found that the datasets from Aleia and Deposita Dados have a moderate level of FAIRness. Both repositories stood out in terms of findability, but could adopt improvements in terms of reuse.
Downloads
References
DATAVERSE PROJECT. About. 2020. Disponível em: https://dataverse.org/about. Acesso em: 27 mar. 2024.
DEVARAJU, A.; HUBER, R. F-UJI: an automated FAIR Data assessment tool. Zenodo, Genève, 2020.Disponível em: https://doi.org/10.5281/zenodo.4063720. Acesso em: 20 jun. 2024.
DUNNING, A.; SMAELE, M.; BÖHMER, J. Are The Fair Data Principles Fair? 2017. Disponível em: https://zenodo.org/record/321423. Acesso em: 27 jul. 2024.
SALES, L. F. et al. GO FAIR Brazil: A Challenge for Brazilian Data Science. Data Intelligence, v. 2, n. 1–2, p. 238–245, 2020. Disponível em: https://direct.mit.edu/dint/article/2/1-2/238-245/10004. Acesso em: 27 jul. 2024.
SANCHEZ, F. A.; VIDOTTI, S. A. B. G.; VECHIATO, F. L. A contribuição da curadoria digital em repositórios digitais. Revista Informação na Sociedade Contemporânea, [S. l.], v. 1, p. 1–17, 2017. Disponível em: https://periodicos.ufrn.br/informacao/article/view/12280. Acesso em: 6 jun. 2024.
SAYÃO, L. F.; SALES, L. F. Algumas considerações sobre os repositórios digitais de dados de pesquisa. Informação & Informação, [S.l.], v. 21, n. 2, p. 90-115, 2016. Disponível em: http://www.uel.br/revistas/uel/index.php/informacao/article/view/27939. Acesso em: 15 abr. 2024.
WILKINSON, M. D et al. The FAIR guiding principles for scientific data management and stewardship. Scientific Data, London, v. 3, p. 1-9, 2016. Disponível em: https://doi.org/10.1038/sdata.2016.18. Acesso em: 22 jul. 2024.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Letícia Guarany Bonetti, Tatyane Guedes Martins da Silva, Rene Faustino Gabriel Junior , Marcel Garcia de Souza, Henrique Fernandes Rodrigues, Ana Carolina Simionato Arakaki
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
- This publication reserves the right to modify the original, regarding norms, spelling and grammar, in order to maintain the standards of the language, still respecting author writing style;
- The final proofs will not be sent to the authors;
- Published works become Ciência da Informação's property, their second partial or full print being subject to expressed authorization by IBICT's Director;
- The original source of publicaton must be provided at all times;
- The authors are solely responsible fo the views expressed within the article;
- Each author will receive two hard copies of the issue, if made availalbe in print.