Infraestrutura e serviços de gestão de dados de pesquisa: uma avaliação no âmbito da Universidade Estadual Paulista (Unesp)
Objective: Understand the process of infrastructure self-assessment and the provision of research data management services, through the diagnosis of the São Paulo State University, using the Research Infrastructure Self-Evaluation Framework. Methods: Exploratory, applied and qualitative research, wh...
| Principais autores: | Torino, Emanuelle, Brito, Jean Fernandes, Trevisan, Gustavo Lunardelli, Vidotti, Silvana Aparecida Borsetti Gregorio |
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| Formato: | Artigo |
| Idioma: | Português |
| Publicado em: |
Curitiba
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/29342 https://doi.org/10.5007/1518-2924.2022.e85188 |
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| Resumo: |
Objective: Understand the process of infrastructure self-assessment and the provision of research data management services, through the diagnosis of the São Paulo State University, using the Research Infrastructure Self-Evaluation Framework. Methods: Exploratory, applied and qualitative research, which consisted of the self-assessment carried out at the São Paulo State University, using the Research Infrastructure Self-Evaluation, generating a spider chart, in order to assess the infrastructure and the offer of services of research data management. Data collection consisted of applying the Research Infrastructure Self-Evaluation, resulting in the mapping of research data management practices in the Institution. Results: Based on the mapping, it was possible to analyze the strengths and needs to improve the infrastructure to support research data management at São Paulo State University, enabling the Institution to verify aspects that require investments, in order to improve the infrastructure and support services for researchers. Conclusions: Starting from the self-assessment and analysis of aspects related to research data management, it was possible to identify the points highlighted, among which institutional attention to policies stands out, which, although general, can be applied to research data management. However, for the infrastructure and research data management services to be properly structured, it is necessary to have a global look by São Paulo State University for all aspects that make up the management of research data, as structured in the Research Infrastructure Self-Evaluation model and through the As a result of self-assessment, invest in filling existing gaps and remedying them for the benefit of the researcher, their research results, the scientific community, society and the institution itself. |
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