Plataformas computacionais de e-Science para gestão de dados científicos: estudo de caso de um programa de pesquisa da Amazônia

• Ano de defesa: 2018
• Autor(a) principal: Silva, Ronaldo Ferreira da
• Orientador(a): Ferneda, Edilson
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Católica de Brasília
• Programa de Pós-Graduação: Programa Stricto Sensu em Gestão do Conhecimento e da Tecnologia da Informação
• Departamento: Escola de Educação, Tecnologia e Comunicação
• País: Brasil
• Palavras-chave em Português: Curadoria digital; Gestão de dados; Gestão de conhecimento científico
• Palavras-chave em Inglês: Big data; E-Science; Management of scientific knowledge; Data management; Digital curatorship
• Área do conhecimento CNPq: CNPQ::CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAO
• Resumo em Inglês: 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.
• Link de acesso: https://bdtd.ucb.br:8443/jspui/handle/tede/2456

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.