GO FAIR Brazil:A Challenge for Brazilian Data Science
GO FAIR Brazil: A Challenge for Brazilian Data Science作者机构:Instituto Brasileiro em Informacao em Ciencia e TecnologiaRio de Janeiro-RJ22290-160Brazil Universidade Federal do Estado do Rio de JaneiroRio de Janeiro-RJ22290-240Brazil Fundacao Oswaldo CruzRio de Janeiro-RJ21040-900Brazil Ministerio da CienciaTecnologiaInovacoes e ComunicacoesEsplanada dos MinisteriosBloco R-BrasiliaDFCEP 70067-900Brazil Comissao Nacional de Energia NuclearRua Gal.Severianon 90 Bairro:BotafogoCEP 22290-901-Rio de JaneiroBrazil GO FAIR International Support&Coordination Office(GFISCO)Leiden 2333 AAThe Netherlands University of TwenteEnschede 7522 NHThe Netherlands
出 版 物:《Data Intelligence》 (数据智能(英文))
年 卷 期:2020年第2卷第1期
页 面:238-245,316,317页
核心收录:
学科分类:081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:FAIR principles GO FAIR GO FAIR Brazil Open Science Research data
摘 要:The FAIR principles,an acronym for Findable,Accessible,Interoperable and Reusable,are recognised worldwide as key elements for good practice in all data management *** 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 *** 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 *** 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 ***,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 *** report demonstrates the strong interest and effort from the Brazilian scientific communities in implementing the FAIR principles in their research data management practices.