Mapping and description of characteristics of open scientific data multidisciplinary repositories
The sharing scientific data makes it possible to accelerate the construction of new knowledge, increasing the efficiency of resources, expanding the possibilities for reuse and reproducibility of research. In order to present a set of information with characteristics of open scientific data reposito...
Na minha lista:
| Principais autores: | , , |
|---|---|
| Formato: | Online |
| Idioma: | por |
| Publicado em: |
Portal de Periódicos Eletrônicos da UFRN
|
| Endereço do item: | https://periodicos.ufrn.br/bibliocanto/article/view/25703 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| id |
oai:periodicos.ufrn.br:article-25703 |
|---|---|
| record_format |
ojs |
| institution |
Periódicos UFRN |
| collection |
Portal de Pediódicos Eletrônicos da UFRN |
| language |
por |
| format |
Online |
| author |
Lucas, Elaine Rosangela de Oliveira Picalho, Antonio Carlos Caitano, Vitória Maria Hartmann |
| spellingShingle |
Lucas, Elaine Rosangela de Oliveira Picalho, Antonio Carlos Caitano, Vitória Maria Hartmann Mapping and description of characteristics of open scientific data multidisciplinary repositories |
| author_facet |
Lucas, Elaine Rosangela de Oliveira Picalho, Antonio Carlos Caitano, Vitória Maria Hartmann |
| author_sort |
Lucas, Elaine Rosangela de Oliveira |
| title |
Mapping and description of characteristics of open scientific data multidisciplinary repositories |
| title_short |
Mapping and description of characteristics of open scientific data multidisciplinary repositories |
| title_full |
Mapping and description of characteristics of open scientific data multidisciplinary repositories |
| title_fullStr |
Mapping and description of characteristics of open scientific data multidisciplinary repositories |
| title_full_unstemmed |
Mapping and description of characteristics of open scientific data multidisciplinary repositories |
| title_sort |
mapping and description of characteristics of open scientific data multidisciplinary repositories |
| description |
The sharing scientific data makes it possible to accelerate the construction of new knowledge, increasing the efficiency of resources, expanding the possibilities for reuse and reproducibility of research. In order to present a set of information with characteristics of open scientific data repositories, it was defined as an objective for this study to characterize and map open scientific data repositories as an alternative for institutional decision-making in the field of scientific data management. An exploratory-descriptive, qualitative study was carried out and, in relation to technical procedures, a bibliographic-documentary survey was carried out, where six open scientific data repositories were analyzed: DANS, DataHub, Harvard-Dataverse, Dryad, Figshare and Zenodo. Based on information collected from the official websites of each of these repositories between April and May 2021, and the following characteristics were observed: foundation and responsibility for maintaining the repository; platform languages ??and accepted datasets, social media and the possibility of direct content sharing; file types and formats accepted, usage limits, content curation; persistent identifiers of content, authors, and research funding information; version control; usage metrics; integration with other applications and costs. The analysis of the sites generated a table, available in the Zenodo repository, with the description of the data of each repository from the categories. The results presented are intended to assist researchers in their choice of an open scientific data repository that allows the sharing of research data. |
| publisher |
Portal de Periódicos Eletrônicos da UFRN |
| publishDate |
2021 |
| url |
https://periodicos.ufrn.br/bibliocanto/article/view/25703 |
| work_keys_str_mv |
AT lucaselainerosangeladeoliveira mappinganddescriptionofcharacteristicsofopenscientificdatamultidisciplinaryrepositories AT picalhoantoniocarlos mappinganddescriptionofcharacteristicsofopenscientificdatamultidisciplinaryrepositories AT caitanovitoriamariahartmann mappinganddescriptionofcharacteristicsofopenscientificdatamultidisciplinaryrepositories AT lucaselainerosangeladeoliveira mapeamentoedescricaodecaracteristicasderepositoriosmultidisciplinaresdedadoscientificosabertos AT picalhoantoniocarlos mapeamentoedescricaodecaracteristicasderepositoriosmultidisciplinaresdedadoscientificosabertos AT caitanovitoriamariahartmann mapeamentoedescricaodecaracteristicasderepositoriosmultidisciplinaresdedadoscientificosabertos |
| _version_ |
1766681634957950976 |
| spelling |
oai:periodicos.ufrn.br:article-257032021-12-30T13:04:45Z Mapping and description of characteristics of open scientific data multidisciplinary repositories Mapeamento e descrição de características de repositórios multidisciplinares de dados científicos abertos Lucas, Elaine Rosangela de Oliveira Picalho, Antonio Carlos Caitano, Vitória Maria Hartmann Scientific data repositories Open scientific data Multidisciplinary repositories Repositórios de dados científicos Dados científicos abertos Repositórios multidisciplinares The sharing scientific data makes it possible to accelerate the construction of new knowledge, increasing the efficiency of resources, expanding the possibilities for reuse and reproducibility of research. In order to present a set of information with characteristics of open scientific data repositories, it was defined as an objective for this study to characterize and map open scientific data repositories as an alternative for institutional decision-making in the field of scientific data management. An exploratory-descriptive, qualitative study was carried out and, in relation to technical procedures, a bibliographic-documentary survey was carried out, where six open scientific data repositories were analyzed: DANS, DataHub, Harvard-Dataverse, Dryad, Figshare and Zenodo. Based on information collected from the official websites of each of these repositories between April and May 2021, and the following characteristics were observed: foundation and responsibility for maintaining the repository; platform languages ??and accepted datasets, social media and the possibility of direct content sharing; file types and formats accepted, usage limits, content curation; persistent identifiers of content, authors, and research funding information; version control; usage metrics; integration with other applications and costs. The analysis of the sites generated a table, available in the Zenodo repository, with the description of the data of each repository from the categories. The results presented are intended to assist researchers in their choice of an open scientific data repository that allows the sharing of research data. O compartilhamento de dados científicos possibilita acelerar a construção de novos conhecimentos, aumentando a eficiência dos recursos, ampliando as possibilidades de reuso e de reprodutibilidade de pesquisas. Com a finalidade de apresentar um conjunto de informações com características de repositórios de dados científicos abertos, definiu-se como objetivo para este estudo caracterizar e mapear os repositórios de dados científicos abertos como alternativa para a tomada de decisão institucional no campo da gestão de dados científicos. Realizou-se um estudo exploratório-descritivo, qualitativo e, com relação aos procedimentos técnicos, um levantamento bibliográfico-documental, em que foram analisados seis repositórios de dados científicos abertos: DANS, DataHub, Harvard-Dataverse, Dryad, Figshare e Zenodo. A partir de informações coletadas dos sites oficiais de cada um desses repositórios entre abril e maio de 2021, foram observadas características referentes às seguintes categorias de análise: fundação e responsabilidade pelo mantenimento do repositório; idiomas da plataforma e dos datasets aceitos, mídias sociais e possibilidade de compartilhamento direto de conteúdo; tipos e formatos de arquivos aceitos, limites de uso, curadoria de conteúdo; identificadores persistentes de conteúdo, de autores e informações acerca de financiamento de pesquisa; controle de versões; métricas de uso; integração com outros aplicativos e custos. A análise dos sites dos repositórios gerou um quadro, disponibilizado no repositório Zenodo, com a descrição dos dados de cada repositório a partir das categorias. Com os resultados apresentados pretende-se auxiliar os pesquisadores na sua escolha por um repositório de dados científicos abertos que permita o compartilhamento dos dados da pesquisa. Portal de Periódicos Eletrônicos da UFRN 2021-12-23 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion texto application/pdf https://periodicos.ufrn.br/bibliocanto/article/view/25703 BiblioCanto; v. 7 n. 1 (2021); 37-61 2447-7842 10.21680/2427-7842.2021v7n1 por https://periodicos.ufrn.br/bibliocanto/article/view/25703/15213 Copyright (c) 2021 BiblioCanto |