GO FAIR Brazil: a challenge for brazilian data science

dc.creatorSales, Luana Farias
dc.creatorHenning, Patrícia Corrêa
dc.creatorVeiga, Viviane Santos de Oliveira
dc.creatorCosta, Maira Murrieta
dc.creatorSayão, Luís Fernando
dc.creatorSantos, Luiz Olavo Bonino da Silva
dc.creatorPires, Luís Ferreira
dc.date2019-12-02T13:29:28Z
dc.date2019-12-02T13:29:28Z
dc.date2019
dc.date.accessioned2023-09-26T22:53:42Z
dc.date.available2023-09-26T22:53:42Z
dc.identifierSALES, Luana Farias et al. GO FAIR Brazil: a challenge for brazilian data science. Data Intelligence, v. 2, n. 2020, p. 238-245, 2019.
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/37518
dc.identifier10.1162/dint_a_00046
dc.identifier2641-435X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8884473
dc.descriptionThe FAIR principles, an acronym for Findable, Accessible, Interoperable and Reusable, are recognised worldwide as key elements for good practice in all data management processes. To understand how the Brazilian scientific community is adhering to these principles, this article reports Brazilian adherence to the GO FAIR initiative through the creation of the GO FAIR Brazil Office and the manner in which they create their implementation networks. To contextualise this understanding, we provide a brief presentation of open data policies in Brazilian research and government, and finally, we describe a model that has been adopted for the GO FAIR Brazil implementation networks. The Brazilian Institute of Information in Science and Technology is responsible for the GO FAIR Brazil Office, which operates in all fields of knowledge and supports thematic implementation networks. Today, GO FAIR Brazil-Health is the first active implementation network in operation, which works in all health domains, serving as a model for other fields like agriculture, nuclear energy, and digital humanities, which are in the process of adherence negotiation. This report demonstrates the strong interest and effort from the Brazilian scientific communities in implementing the FAIR principles in their research data management practices.
dc.formatapplication/pdf
dc.languagepor
dc.publisherData Intelligence
dc.rightsopen access
dc.subjectFAIR principles
dc.subjectGO FAIR
dc.subjectGO FAIR Brazil
dc.subjectOpen Science
dc.subjectResearch data
dc.titleGO FAIR Brazil: a challenge for brazilian data science
dc.typeArticle


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