Identification and Assessment of the Scientific and Technological Connection Between Researchers Working in Oncology and Nuclear Medicine According to the Lattes Base
In the era of Big Data, the open sharing of data in research, networking and the rapid identification of experts in specific areas becomes urgent. The Lattes Platform is the main Brazilian curriculum repository, making it possible to extract various information from researchers, such as the institut...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2023 |
| País: | Brasil |
| Recursos: | Universidade Federal da Bahia (UFBA) |
| Repositório: | Cadernos de Prospecção (Online) |
| Idioma: | português |
| OAI Identifier: | oai:ojs.periodicos.ufba.br:article/50800 |
| Acesso em linha: | https://periodicos.ufba.br/index.php/nit/article/view/50800 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Plataforma Lattes ScriptLattes Câncer. Lattes Database Cancer. |
| Resumo: | In the era of Big Data, the open sharing of data in research, networking and the rapid identification of experts in specific areas becomes urgent. The Lattes Platform is the main Brazilian curriculum repository, making it possible to extract various information from researchers, such as the institution where they work, research lines, scientific productions, etc. There are limitations on the platform, such as the specialists' information being arranged individually and without an indexing standard. Thus, considering the importance of radiopharmaceuticals for Brazilian and global public health, this work aimed to identify the most relevant specialists in Brazilian territory working on the subject. A quantitative approach was used as a case study to analyze the information registered in cancer with specificity in technetium-99m of the essential competences in the area, using the computational tool ScriptLattes. The results proved to be efficient in generating scientific and technological knowledge at various institutional levels, which can be replicated in different areas of science. |
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