Abstract
Several studies show the difficulty experienced for the reuse of the ever increasing amount of genomic data. Initiatives are being created to mitigate this concern; one of the most well-known is the FAIR Data Principles. Nonetheless, the related works are too generic and do not describe simultaneously and properly the human and machine perspectives of the FAIRness of databases. Hence, in order to bridge this gap, our paper introduces an approach named the Bio FAIR Evaluator Framework, a semiautomated tool aimed to analyze the FAIRness of genomic databases. Furthermore, we performed experiments that analyzed selected genomic databases according to two orthogonal and complementary perspectives (human and machine). The approach uses standardized FAIR metrics and generates recommendation reports to researchers indicating how to enhance the FAIRness of databases. Our findings, when compared with related works, show the feasibility of the approach, indicating that the current genomic databases are poorly compliant with FAIR Principles.
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Acknowledgements
This study was financed in part by the National Council for Scientific and Technological Development (CNPq), Programa de Educação Tutorial (PET) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
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Feijoó, M.P.P., Jardim, R., da Cruz, S.M.S., Campos, M.L.M. (2020). Evaluating FAIRness of Genomic Databases. In: Grossmann, G., Ram, S. (eds) Advances in Conceptual Modeling. ER 2020. Lecture Notes in Computer Science(), vol 12584. Springer, Cham. https://doi.org/10.1007/978-3-030-65847-2_12
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DOI: https://doi.org/10.1007/978-3-030-65847-2_12
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