Dados abertos governamentais conectados em big data: framework conceitual

• Ano de defesa: 2020
• Autor(a) principal: Silva, Leonardo Ferreira da
• Orientador(a): Moresi, Eduardo Amadeu Dutra Moresi
• 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: Big data; Educação; Framework; Dados abertos; Interoperabilidade; Dados abertos governamentais
• Palavras-chave em Inglês: Open government data; Interoperability; Framework; Education; Data lake; Big data
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://bdtd.ucb.br:8443/jspui/handle/tede/2799

This work addresses the communication and interoperability between government environments that can improve the use of available information. Government Open Data can offer a lot of information, being useful in enriching knowledge as long as used in a correlated way. Especially in the Education’s area of the federal government, most of the open data is available in a dispersed form over the internet. Therefore, the dissertation presents how to develop a conceptual framework for Government Open Data Connected in Big Data. Initially, deductive reasoning was performed to have sufficient subsidies for proposing a preliminary conceptual framework for the acquisition and use of open government data of interest in the educational area, later on inductive reasoning was used to verify the framework. The research performed semi-structured interviews to validate the conceptual framework with specialists in the dissemination of open educational data from the Federal Government. As main results it was possible to identify the environment, the structure, the elements and the variables that involve the collection and dissemination of data that compose the basic structure of an environment that receives and consume structured and unstructured data. Five elements are identified: Organizational Strategy; External Open Databases; Extraction Agent; Extraction Method; and Data Quality. Four variables: Data Types and Data Formats; Acquisition Forms; Storage Technologies; and Business Processes. Thus, there is expected that the conceptual framework proposed will become a reference for future research on open government data and new technologies such as big data and data lake and allow not only the limited educational area, but also other government areas to implement the best mechanisms for collecting, preparing and disseminating data.