Scientific data curation in information science: national scenario survey

Authors

DOI:

https://doi.org/10.5380/atoz.v9i1.69190

Keywords:

Digital Curation. Scientific data. Information Professional. Information Science. Survey. e-Science.

Abstract

Introduction: For contemporary science, data sharing is a key element for its progress and collaboration among scientific communities. In the context of open science and e-science, information science investigates solutions to the challenges of treating and using information. The current lack of knowledge of the importance of digital curation activities of scientific data and the degree of adherence to this new scenario, cause difficulties for the information professional to adapt in this context and contribute solutions to the challenges of digital curation. It aims to investigate the importance that the digital curation activities of scientific data have for the area of Information Science in Brazil, in face of the international trend of scientific knowledge management. Methods: The research follows a quantitative approach, it is applied in nature and exploratory and descriptive. It uses procedures of a survey with Survey, to obtain information from the Digital Curator through the opinion of Brazilian researchers in the area of Information Science. Results: The information analyzed reveals that the field of Brazilian Information Science is seeking to adapt in this scenario. Conclusions: The data allow us to affirm that there is not a sufficiently assimilated awareness by the researchers of Information Science regarding the need for more conscious and committed involvement in Digital Curation activities. New research is indicated to deepen this discussion.

Author Biographies

Liliane Chaves de Resende, Universidade Federal de Minas Gerais - UFMG

 Mestranda em Ciência da Informação no Programa de Pós-Graduação em Gestão & Organização do Conhecimento na Escola de Ciência da Informação da Universidade  Federal de Minas Gerais.

Marcello Peixoto Bax, Universidade Federal de Minas Gerais - UFMG

Doutor em Informática, Análise de Sistemas e Tratamento de Sinal pela Université Montpellier 2 (UM2) - França. Professor da Universidade Federal de Minas Gerais (UFMG) - Belo Horizonte, MG - Brasil. 

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Published

2020-09-16

How to Cite

Resende, L. C. de, & Bax, M. P. (2020). Scientific data curation in information science: national scenario survey. AtoZ: Novas práticas Em informação E Conhecimento, 9(1), 94–110. https://doi.org/10.5380/atoz.v9i1.69190

Issue

Vol. 9 No. 1 (2020): jan./jun.

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Papers

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