{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T05:29:31Z","timestamp":1761629371008,"version":"3.38.0"},"reference-count":2,"publisher":"China Science Publishing & Media Ltd.","issue":"1-2","content-domain":{"domain":["www.mitpressjournals.org"],"crossmark-restriction":true},"short-container-title":["Data Intellegence"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:p> 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. <\/jats:p>","DOI":"10.1162\/dint_a_00046","type":"journal-article","created":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T20:43:34Z","timestamp":1572641014000},"page":"238-245","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":12,"title":["GO FAIR Brazil: A Challenge for Brazilian Data                     Science"],"prefix":"10.3724","volume":"2","author":[{"given":"Luana","family":"Sales","sequence":"first","affiliation":[{"name":"Instituto Brasileiro em Informa\u00e7\u00e3o em Ci\u011bncia e                         Tecnologia, Rio de Janeiro \u2013 RJ, 22290-160, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0739-6442","authenticated-orcid":true,"given":"Patr\u00edcia","family":"Henning","sequence":"additional","affiliation":[{"name":"Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro \u2013                         RJ, 22290-240, Brazil"}]},{"given":"Viviane","family":"Veiga","sequence":"additional","affiliation":[{"name":"Funda\u00e7\u00e3o Oswaldo Cruz, Rio de Janeiro \u2013 RJ, 21040-900,                         Brazil"}]},{"given":"Maira Murrieta","family":"Costa","sequence":"additional","affiliation":[{"name":"Minist\u00e9rio da Ci\u011bncia, Tecnologia, Inova\u00e7\u00f5es e                         Comunica\u00e7\u00f5es, Esplanada dos Minist\u00e9rios, Bloco R                         \u2013 Bras\u00edlia, DF, CEP 70067-900, Brazil"}]},{"given":"Lu\u00eds Fernando","family":"Say\u00e3o","sequence":"additional","affiliation":[{"name":"Comiss\u00e3o Nacional de Energia Nuclear, Rua Gal. Severiano, n\u00b0                         90; Bairro: Botafogo; CEP 22290-901 \u2013 Rio de Janeiro, Brazil"}]},{"given":"Luiz Olavo Bonino","family":"da Silva Santos","sequence":"additional","affiliation":[{"name":"GO FAIR International Support & Coordination Office (GFISCO), Leiden 2333 AA, The Netherlands"}]},{"given":"Lu\u00eds Ferreira","family":"Pires","sequence":"additional","affiliation":[{"name":"University of Twente, Enschede 7522 NH, The Netherlands"}]}],"member":"2026","reference":[{"key":"ref2","first-page":"143","volume-title":"Reposit\u00f3rios digitais: teoria e pr\u00e1tica","volume":"1","author":"Say\u00e3o L.F.","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.18"}],"container-title":["Data Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/dint_a_00046","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T07:41:24Z","timestamp":1741938084000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciengine.com\/doi\/10.1162\/dint_a_00046"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":2,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["10.1162\/dint_a_00046"],"URL":"https:\/\/doi.org\/10.1162\/dint_a_00046","relation":{},"ISSN":["2641-435X"],"issn-type":[{"type":"electronic","value":"2641-435X"}],"subject":[],"published":{"date-parts":[[2020,1]]},"assertion":[{"value":"2020-01-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}