Intellectual property in the post graduation of northeast federal universities: bibliometric indicators
The analysis of the production of scientific knowledge through bibliometrics allows the evaluation of the specific area profile. In this sense, this article presents the bibliometric indicators of the Postgraduate Programs of the Northeast region that research on intellectual property. This research...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | Brasil |
| Institución: | Universidade Estadual de Campinas (UNICAMP) |
| Repositorio: | Revista Digital de Biblioteconomia e Ciência da Informação |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.periodicos.sbu.unicamp.br:article/8652810 |
| Acceso en línea: | https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8652810 |
| Access Level: | acceso abierto |
| Palabra clave: | Propriedade intelectual Bibliometria Pós-graduação. Intellectual property Bibliometric Postgraduate studies. |
| Sumario: | The analysis of the production of scientific knowledge through bibliometrics allows the evaluation of the specific area profile. In this sense, this article presents the bibliometric indicators of the Postgraduate Programs of the Northeast region that research on intellectual property. This research is classified as exploratory, with quantitative and qualitative approaches, having as a field of study: Federal University of Bahia (UFBA), Federal University of Sergipe (UFS), Federal University of Alagoas (UFAL), Federal University of Pernambuco (UFPE), Federal University of Paraíba (UFPB), Federal University of Ceará (UFC), Federal University of Maranhão (UFMA), Federal University of Piauí (UFPI), Federal University of Rio Grande do Norte (UFRN). The data collection was done in the CAPES Thesis and Dissertations Database and in the Institutional Repositories of the researched institutions. As a search strategy the term "Intellectual Property" was used, which allowed to find 4 theses and 34 dissertations. To organize the data, Excel and Word Art software were used. With the results, it was possible to identify the Graduate Programs that developed research on Intellectual Property, the topics addressed and the most recurrent keywords. Thus, it was feasible to outline the aspects of Intellectual Property research through the construction of bibliometric indicators. |
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