Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia

Detalhes bibliográficos
Autor(a) principal: Silva, Ronaldo Ferreira da
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UCB
Texto Completo: https://bdtd.ucb.br:8443/jspui/handle/tede/2456
Resumo: Contemporary science is characterized by a large volume of data, a consequence of the growing complexity of research problems, increasingly requiring collaboration between interdiscipli-nary and inter institutional groups. In this context, the Technology of Information has been playing a relevant role in the provision of environments that enable this dynamic work. This dissertation analyzed electronic science (e-Science) platforms components available today and listed a set of indicators, involving hybrid architectures, that are able to efficiently meet the needs for scientific data management in a specific context: one research program for the Am-azon. The method used to analyze the collected data through semi-structured interviews focused on the categorization of information, by being the basis for the proposed indicators, using Con-tent Analysis techniques.
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spelling Ferneda, Edilsonhttp://lattes.cnpq.br/2531761427648020Santos, Jos?? Laurindo Campos doshttp://lattes.cnpq.br/8582991885434941http://lattes.cnpq.br/7462950670630913Silva, Ronaldo Ferreira da2018-08-09T19:01:47Z2018-02-28SILVA, Ronaldo Ferreira da. Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia. 2018. 177 f. Disserta????o (Programa Stricto Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????o) - Universidade Cat??lica de Bras??lia, Bras??lia, 2018.https://bdtd.ucb.br:8443/jspui/handle/tede/2456Contemporary science is characterized by a large volume of data, a consequence of the growing complexity of research problems, increasingly requiring collaboration between interdiscipli-nary and inter institutional groups. In this context, the Technology of Information has been playing a relevant role in the provision of environments that enable this dynamic work. This dissertation analyzed electronic science (e-Science) platforms components available today and listed a set of indicators, involving hybrid architectures, that are able to efficiently meet the needs for scientific data management in a specific context: one research program for the Am-azon. The method used to analyze the collected data through semi-structured interviews focused on the categorization of information, by being the basis for the proposed indicators, using Con-tent Analysis techniques.A ci??ncia contempor??nea caracteriza-se pelo grande volume de dados, reflexo da crescente complexidade dos problemas de pesquisa, exigindo cada vez mais a colabora????o entre grupos interdisciplinares e interinstitucionais. Nesse contexto, a Tecnologia da Informa????o vem tendo papel relevante na oferta de ambientes que viabilizem essa din??mica de trabalho. Esta disserta-????o analisou componentes de plataformas da ci??ncia eletr??nica (e-Science) hoje dispon??veis e elencou um conjunto de indicadores, envolvendo arquiteturas h??bridas, que s??o capazes de aten-der, de forma eficiente, as necessidades para gest??o de dados cient??ficos em um contexto espe-c??fico: um programa de pesquisa para a Amaz??nia. O m??todo utilizado para analisar os dados coletados por meio de entrevistas semiestruturadas, concentrou-se na categoriza????o das infor-ma????es, sendo estas a base para proposta dos indicadores, utilizando t??cnicas da An??lise de Conte??do.Submitted by Sara Ribeiro (sara.ribeiro@ucb.br) on 2018-08-09T19:01:33Z No. of bitstreams: 1 RonaldoFerreiradaSilvaDissertacao2018.pdf: 3350825 bytes, checksum: 8d4d20c28a18e8b73c57595843d80680 (MD5)Approved for entry into archive by Sara Ribeiro (sara.ribeiro@ucb.br) on 2018-08-09T19:01:47Z (GMT) No. of bitstreams: 1 RonaldoFerreiradaSilvaDissertacao2018.pdf: 3350825 bytes, checksum: 8d4d20c28a18e8b73c57595843d80680 (MD5)Made available in DSpace on 2018-08-09T19:01:47Z (GMT). No. of bitstreams: 1 RonaldoFerreiradaSilvaDissertacao2018.pdf: 3350825 bytes, checksum: 8d4d20c28a18e8b73c57595843d80680 (MD5) Previous issue date: 2018-02-28application/pdfhttps://bdtd.ucb.br:8443/jspui/retrieve/5890/RonaldoFerreiradaSilvaDissertacao2018.pdf.jpgporUniversidade Cat??lica de Bras??liaPrograma Stricto Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????oUCBBrasilEscola de Educa????o, Tecnologia e Comunica????oBig dataE-ScienceManagement of scientific knowledgeData managementDigital curatorshipCuradoria digitalGest??o de dadosGest??o de conhecimento cient??ficoCNPQ::CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAOPlataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??niainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UCBinstname:Universidade Católica de Brasília (UCB)instacron:UCBLICENSElicense.txtlicense.txttext/plain; charset=utf-81905https://200.214.135.178:8443/jspui/bitstream/tede/2456/1/license.txt75558dcf859532757239878b42f1c2c7MD51ORIGINALRonaldoFerreiradaSilvaDissertacao2018.pdfRonaldoFerreiradaSilvaDissertacao2018.pdfapplication/pdf3350825https://200.214.135.178:8443/jspui/bitstream/tede/2456/2/RonaldoFerreiradaSilvaDissertacao2018.pdf8d4d20c28a18e8b73c57595843d80680MD52TEXTRonaldoFerreiradaSilvaDissertacao2018.pdf.txtRonaldoFerreiradaSilvaDissertacao2018.pdf.txttext/plain462481https://200.214.135.178:8443/jspui/bitstream/tede/2456/3/RonaldoFerreiradaSilvaDissertacao2018.pdf.txt832fed8551a87d5b78af73fd67637bf0MD53THUMBNAILRonaldoFerreiradaSilvaDissertacao2018.pdf.jpgRonaldoFerreiradaSilvaDissertacao2018.pdf.jpgimage/jpeg6272https://200.214.135.178:8443/jspui/bitstream/tede/2456/4/RonaldoFerreiradaSilvaDissertacao2018.pdf.jpgb8a80398492d9c606796b34988bd1f78MD54tede/24562018-08-10 01:08:44.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 Digital de Teses e Dissertaçõeshttps://bdtd.ucb.br:8443/jspui/
dc.title.por.fl_str_mv Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
title Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
spellingShingle Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
Silva, Ronaldo Ferreira da
Big data
E-Science
Management of scientific knowledge
Data management
Digital curatorship
Curadoria digital
Gest??o de dados
Gest??o de conhecimento cient??fico
CNPQ::CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAO
title_short Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
title_full Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
title_fullStr Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
title_full_unstemmed Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
title_sort Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia
author Silva, Ronaldo Ferreira da
author_facet Silva, Ronaldo Ferreira da
author_role author
dc.contributor.advisor1.fl_str_mv Ferneda, Edilson
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2531761427648020
dc.contributor.advisor-co1.fl_str_mv Santos, Jos?? Laurindo Campos dos
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/8582991885434941
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7462950670630913
dc.contributor.author.fl_str_mv Silva, Ronaldo Ferreira da
contributor_str_mv Ferneda, Edilson
Santos, Jos?? Laurindo Campos dos
dc.subject.eng.fl_str_mv Big data
E-Science
Management of scientific knowledge
Data management
Digital curatorship
topic Big data
E-Science
Management of scientific knowledge
Data management
Digital curatorship
Curadoria digital
Gest??o de dados
Gest??o de conhecimento cient??fico
CNPQ::CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAO
dc.subject.por.fl_str_mv Curadoria digital
Gest??o de dados
Gest??o de conhecimento cient??fico
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAO
dc.description.abstract.eng.fl_txt_mv Contemporary science is characterized by a large volume of data, a consequence of the growing complexity of research problems, increasingly requiring collaboration between interdiscipli-nary and inter institutional groups. In this context, the Technology of Information has been playing a relevant role in the provision of environments that enable this dynamic work. This dissertation analyzed electronic science (e-Science) platforms components available today and listed a set of indicators, involving hybrid architectures, that are able to efficiently meet the needs for scientific data management in a specific context: one research program for the Am-azon. The method used to analyze the collected data through semi-structured interviews focused on the categorization of information, by being the basis for the proposed indicators, using Con-tent Analysis techniques.
dc.description.abstract.por.fl_txt_mv A ci??ncia contempor??nea caracteriza-se pelo grande volume de dados, reflexo da crescente complexidade dos problemas de pesquisa, exigindo cada vez mais a colabora????o entre grupos interdisciplinares e interinstitucionais. Nesse contexto, a Tecnologia da Informa????o vem tendo papel relevante na oferta de ambientes que viabilizem essa din??mica de trabalho. Esta disserta-????o analisou componentes de plataformas da ci??ncia eletr??nica (e-Science) hoje dispon??veis e elencou um conjunto de indicadores, envolvendo arquiteturas h??bridas, que s??o capazes de aten-der, de forma eficiente, as necessidades para gest??o de dados cient??ficos em um contexto espe-c??fico: um programa de pesquisa para a Amaz??nia. O m??todo utilizado para analisar os dados coletados por meio de entrevistas semiestruturadas, concentrou-se na categoriza????o das infor-ma????es, sendo estas a base para proposta dos indicadores, utilizando t??cnicas da An??lise de Conte??do.
description Contemporary science is characterized by a large volume of data, a consequence of the growing complexity of research problems, increasingly requiring collaboration between interdiscipli-nary and inter institutional groups. In this context, the Technology of Information has been playing a relevant role in the provision of environments that enable this dynamic work. This dissertation analyzed electronic science (e-Science) platforms components available today and listed a set of indicators, involving hybrid architectures, that are able to efficiently meet the needs for scientific data management in a specific context: one research program for the Am-azon. The method used to analyze the collected data through semi-structured interviews focused on the categorization of information, by being the basis for the proposed indicators, using Con-tent Analysis techniques.
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-08-09T19:01:47Z
dc.date.issued.fl_str_mv 2018-02-28
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dc.identifier.citation.fl_str_mv SILVA, Ronaldo Ferreira da. Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia. 2018. 177 f. Disserta????o (Programa Stricto Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????o) - Universidade Cat??lica de Bras??lia, Bras??lia, 2018.
dc.identifier.uri.fl_str_mv https://bdtd.ucb.br:8443/jspui/handle/tede/2456
identifier_str_mv SILVA, Ronaldo Ferreira da. Plataformas computacionais de e-Science para gest??o de dados cient??ficos: estudo de caso de um programa de pesquisa da Amaz??nia. 2018. 177 f. Disserta????o (Programa Stricto Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????o) - Universidade Cat??lica de Bras??lia, Bras??lia, 2018.
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dc.publisher.program.fl_str_mv Programa Stricto Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????o
dc.publisher.initials.fl_str_mv UCB
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola de Educa????o, Tecnologia e Comunica????o
publisher.none.fl_str_mv Universidade Cat??lica de Bras??lia
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