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Identificação de especialistas em câncer no Brasil em plataforma de big data
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Orientador(es)
Resumo(s)
Introduction: Data from different sources are generated every second, thus requiring new solutions to process and manage them quickly. Many public and private organizations have used Big Data analysis as a management strategy. In the field of Oncology, Big Data analysis is capable of providing valuable subsidies to decision makers, whether for the design of public policies or the allocation of resources for research. This work proposes a methodology for prospecting and analyzing data from CV Lattes in order to identify specialist researchers in the field of oncology. Method: In this study, the computational tool ScriptLattes was used in combination with the KNIME software for data extraction and analysis. Essential information was obtained from researchers who work in oncology, in the Medicine subarea. The methodology involved the identification of specialists, main productions, geographic distribution and collaboration networks. Results: The Lattes platform revealed 198 researchers adhering to the criteria and filters applied in the search strategy, of which 134 specialists were identified with a degree in medicine and productions in the field of oncology. Scientific articles are the main production among the most prominent specialists. There was a greater concentration of these specialists in the southeastern region of the country and the presence of a network of collaborations involving most of the most productive specialists. Conclusion: The strategies and methodologies presented in this study allow the prospection of information and construction of the scenario of Brazilian specialists in oncology, being promising to support ST&I managers in decision-making.
Descrição
Publisher Copyright: © 2025, Programa de Pos-Graduacao em Gestao da Informacao, Universidade Federal do Parana. All rights reserved.
Palavras-chave
Cancer, Oncology Lattes Platform Medicine ScriptLattes Specialists Information Systems Strategy and Management Library and Information Sciences SDG 3 - Good Health and Well-being