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GO FAIR Brazil:A Challenge for Brazilian Data Science 被引量:3
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作者 luana sales Patricia Henning +4 位作者 Viviane Veiga Maira Murrieta Costa Luis Fernando Sayao Luiz Olavo Bonino da Silva Santos Luis Ferreira Pires 《Data Intelligence》 2020年第1期238-245,316,317,共10页
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 ... 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. 展开更多
关键词 FAIR principles GO FAIR GO FAIR Brazil Open Science Research data
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