From the extroversion of the collections to the new potentials of information analysis in processes of data openness: in focus the documentation of the museum collection of the Museu do Índio/ FUNAI

Authors

DOI:

https://doi.org/10.18617/liinc.v15i2.4765

Abstract

ABSTRACT The aim of this article is to present research carried out using digital objects, more specifically digital collections, seeking to conceptualize how open science is understood in the context of research on the museum collections of an important institution, such as the Museu do Índio. Using special features of the Tainacan tool used by the Museu do Índio to make available its collection, in order to collect data that has great representativity in what concerns a museum collection, from the collected information it was possible to represent the data using related methods to the Social Networks Analysis (SNA), which allows a visual analysis of the information obtained and a good representation of the perceived correlations between the different aspects of the collection.

Keywords: Museu do Índio; Open Science; Tainacan; Social Network Analysis.

Author Biographies

  • Eduardo Alves Silva, NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL)
    Mestrando em Gestão da Informação pela NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL) e pesquisador do projeto Tainacan – Acervos Digitais em Rede da Universidade Federal de Goiás (UFG).
  • Dalton Lopes Martins, Universidade de Brasília (UnB)
    Doutor em Ciência da Informação pela Universidade de São Paulo. Professor do curso de graduação de Biblioteconomia e do Programa de Pós-Graduação em Ciência da Informação da Universidade de Brasília (UnB).

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Published

11/12/2019

Issue

Vol. 15 No. 2 (2019): Research Data

Section

Research Data

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How to Cite

From the extroversion of the collections to the new potentials of information analysis in processes of data openness: in focus the documentation of the museum collection of the Museu do Índio/ FUNAI. Liinc em Revista, [S. l.], v. 15, n. 2, 2019. DOI: 10.18617/liinc.v15i2.4765. Disponível em: https://revista.ibict.br/liinc/article/view/4765. Acesso em: 21 nov. 2024.