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GO FAIR Brazil: A Challenge for Brazilian Data Science
Author(s) -
Luana Farias Sales,
Patrícia Henning,
Viviane Santos de Oliveira Veiga,
Maíra Murrieta Costa,
Luís Fernando Sayão,
Luiz Olavo Bonino da Silva Santos,
Luís Ferreira Pires
Publication year - 2019
Publication title -
data intelligence
Language(s) - English
Resource type - Journals
eISSN - 2096-7004
pISSN - 2641-435X
DOI - 10.1162/dint_a_00046
Subject(s) - interoperability , acronym , negotiation , government (linguistics) , presentation (obstetrics) , process (computing) , fair use , knowledge management , political science , public relations , business , computer science , world wide web , medicine , philosophy , linguistics , law , radiology , operating system
The 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.

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