GO FAIR Brazil: a challenge for brazilian data science

Detalhes bibliográficos
Autor(a) principal: Sales, Luana Farias
Data de Publicação: 2019
Outros Autores: Henning, Patrícia Corrêa, Veiga, Viviane Santos de Oliveira, Costa, Maira Murrieta, Sayão, Luís Fernando, Santos, Luiz Olavo Bonino da Silva, Pires, Luís Ferreira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/37518
Resumo: Instituto Brasileiro em Informação em Ciência e Tecnologia. Rio de Janeiro, RJ, Brasil.
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spelling Sales, Luana FariasHenning, Patrícia CorrêaVeiga, Viviane Santos de OliveiraCosta, Maira MurrietaSayão, Luís FernandoSantos, Luiz Olavo Bonino da SilvaPires, Luís Ferreira2019-12-02T13:29:28Z2019-12-02T13:29:28Z2019SALES, Luana Farias et al. GO FAIR Brazil: a challenge for brazilian data science. Data Intelligence, v. 2, n. 2020, p. 238-245, 2019.https://www.arca.fiocruz.br/handle/icict/3751810.1162/dint_a_000462641-435XporData IntelligenceGO FAIR Brazil: a challenge for brazilian data scienceinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleInstituto Brasileiro em Informação em Ciência e Tecnologia. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Ministério da Ciência, Tecnologia, Inovações e Comunicações. Brasília, DF, Brasil.Comissão Nacional de Energia Nuclear. Rio de Janeiro, RJ, Brasil.GO FAIR International Support & Coordination Office (GFISCO). Leiden, Netherlands.University of Twente. Enschede, Netherlands.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.FAIR principlesGO FAIRGO FAIR BrazilOpen ScienceResearch datainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83128https://www.arca.fiocruz.br/bitstream/icict/37518/1/license.txt0a01a23320286399b52cf17eb1aafb12MD51ORIGINAL23824-Luana_Sales-33_YV8hCml.pdf23824-Luana_Sales-33_YV8hCml.pdfapplication/pdf2442421https://www.arca.fiocruz.br/bitstream/icict/37518/2/23824-Luana_Sales-33_YV8hCml.pdf60378bb7a3ad3418ebb48deab1029784MD52TEXT23824-Luana_Sales-33_YV8hCml.pdf.txt23824-Luana_Sales-33_YV8hCml.pdf.txtExtracted 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dc.title.pt_BR.fl_str_mv GO FAIR Brazil: a challenge for brazilian data science
title GO FAIR Brazil: a challenge for brazilian data science
spellingShingle GO FAIR Brazil: a challenge for brazilian data science
Sales, Luana Farias
FAIR principles
GO FAIR
GO FAIR Brazil
Open Science
Research data
title_short GO FAIR Brazil: a challenge for brazilian data science
title_full GO FAIR Brazil: a challenge for brazilian data science
title_fullStr GO FAIR Brazil: a challenge for brazilian data science
title_full_unstemmed GO FAIR Brazil: a challenge for brazilian data science
title_sort GO FAIR Brazil: a challenge for brazilian data science
author Sales, Luana Farias
author_facet Sales, Luana Farias
Henning, Patrícia Corrêa
Veiga, Viviane Santos de Oliveira
Costa, Maira Murrieta
Sayão, Luís Fernando
Santos, Luiz Olavo Bonino da Silva
Pires, Luís Ferreira
author_role author
author2 Henning, Patrícia Corrêa
Veiga, Viviane Santos de Oliveira
Costa, Maira Murrieta
Sayão, Luís Fernando
Santos, Luiz Olavo Bonino da Silva
Pires, Luís Ferreira
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sales, Luana Farias
Henning, Patrícia Corrêa
Veiga, Viviane Santos de Oliveira
Costa, Maira Murrieta
Sayão, Luís Fernando
Santos, Luiz Olavo Bonino da Silva
Pires, Luís Ferreira
dc.subject.en.pt_BR.fl_str_mv FAIR principles
GO FAIR
GO FAIR Brazil
Open Science
Research data
topic FAIR principles
GO FAIR
GO FAIR Brazil
Open Science
Research data
description Instituto Brasileiro em Informação em Ciência e Tecnologia. Rio de Janeiro, RJ, Brasil.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-12-02T13:29:28Z
dc.date.available.fl_str_mv 2019-12-02T13:29:28Z
dc.date.issued.fl_str_mv 2019
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv SALES, Luana Farias et al. GO FAIR Brazil: a challenge for brazilian data science. Data Intelligence, v. 2, n. 2020, p. 238-245, 2019.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/37518
dc.identifier.doi.pt_BR.fl_str_mv 10.1162/dint_a_00046
dc.identifier.eissn.pt_BR.fl_str_mv 2641-435X
identifier_str_mv SALES, Luana Farias et al. GO FAIR Brazil: a challenge for brazilian data science. Data Intelligence, v. 2, n. 2020, p. 238-245, 2019.
10.1162/dint_a_00046
2641-435X
url https://www.arca.fiocruz.br/handle/icict/37518
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dc.publisher.none.fl_str_mv Data Intelligence
publisher.none.fl_str_mv Data Intelligence
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
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