GO FAIR Brazil: A Challenge for Brazilian Data Science

Luana Sales, Patricia Henning*, Viviane Veiga, Maira Murrieta Costa, Luis Fernando Sayao, Luiz Olavo Bonino da Silva Santos, Luis Ferreira Pires

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

13 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)238-245
JournalData Intelligence
Volume2
Issue number1-2
DOIs
Publication statusPublished - 31 Jan 2020

Fingerprint Dive into the research topics of 'GO FAIR Brazil: A Challenge for Brazilian Data Science'. Together they form a unique fingerprint.

Cite this