Overview of Brazilian data management plans in DMPTool: Scientific data characterization and diversity

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorInst Brasileiro Informacoes Ciencia & Tecnol-
Autor(es): dc.contributorUniversidade Federal de Goiás (UFG)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniv Fed Rio Grande do Sul-
Autor(es): dc.creatorStueber, Ketlen-
Autor(es): dc.creatorRezende, Laura V. R.-
Autor(es): dc.creatorMonteiro, Elizabete Cristina de Souza de Aguiar-
Autor(es): dc.creatorSilva, Fabiano Couto Correa da-
Autor(es): dc.creatorAlves, Romulo Arantes-
Autor(es): dc.creatorOliveira, Alexandre Faria de-
Data de aceite: dc.date.accessioned2025-08-21T15:48:05Z-
Data de disponibilização: dc.date.available2025-08-21T15:48:05Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-10-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.31009/hiper-text.net.2023.i27.05-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/305306-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/305306-
Descrição: dc.descriptionThe study presents an analysis of the public data management plans developed in the DMPTool, focusing on the plans developed by Brazilian researchers. The objective is to verify the area of knowledge, research institutions, funding agencies, and the types of data generated. A qualitative-quantitative research approach uses content analysis techniques for data collection, organization, and interpretation. The study presents reflections for future research in this area and highlights the need to increase the training process and support for researchers so that they can understand the dynamics of planning and management of scientific data so that over time it becomes a practice incorporated into scientific work in general. The main results indicate that the area of Health Sciences stands out with 166 registered plans, forming the majority of the total. In terms of institutions, most plans were associated with universities and research institutes in the Southeast region of Brazil. The typological analysis regarding the Origin of the data forms the majority, 42.2% are derivatives, while the typological analysis regarding the Nature results that 67.8% of the data collected and generated are from texts and images. It is concluded that DMPTool is a resource that favors the insertion of the Brazilian scientific ecosystem in the list of best practices in Open Science, especially the management of scientific data.-
Descrição: dc.descriptionInst Brasileiro Informacoes Ciencia & Tecnol, Goiania, Brazil-
Descrição: dc.descriptionUniv Fed Goias, Goiania, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Paulista, Brazil-
Descrição: dc.descriptionUniv Fed Rio Grande do Sul, Rio Grande Do Sul, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Paulista, Brazil-
Formato: dc.format47-56-
Idioma: dc.languagees-
Publicador: dc.publisherUniv Pompeu Fabra, Dept Comunicacio-
Relação: dc.relationHipertext Net-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectOpen Science-
Palavras-chave: dc.subjectScientific data-
Palavras-chave: dc.subjectInformation management-
Palavras-chave: dc.subjectDigital preservation-
Título: dc.titleOverview of Brazilian data management plans in DMPTool: Scientific data characterization and diversity-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.