| Texto completo | |
| Autor(es): |
Martins, Dalton Lopes
;
da Silva Lemos, Daniela Lucas
;
Rosa de Oliveira, Luis Felipe
;
Siqueira, Joyce
;
do Carmo, Danielle
;
Medeiros, Vinicius Nunes
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY; v. N/A, p. 20-pg., 2022-03-28. |
| Resumo | |
This paper focuses on data science in digital cultural heritage in Brazil, where there is a lack of systematized information and curated databases for the integrated organization of documentary knowledge. Thus, the aim was to systematically map the different forms of information organization and representation applied to objects from collections belonging to institutions affiliated with the federal government's Special Department of Culture. This diagnosis is then used to discuss the requirements of devising strategies that favor a better data science information infrastructure to reuse information on Brazil's cultural heritage. Content analysis was used to identify analytical categories and obtain a broader understanding of the documentary sources of these institutions in order to extract, analyze, and interpret the data involved. A total of 215 hyperlinks that can be considered cultural collections of the institutions studied were identified, representing 2,537,921 cultural heritage items. The results show that the online publication of Brazil's digital cultural heritage is limited in terms of technology, copyright licensing, and established information organization practices. This paper provides a conceptual and analytical view to discuss the requirements for formulating strategies aimed at building a data science information infrastructure of Brazilian digital cultural collections that serves as future projects. (AU) | |
| Processo FAPESP: | 18/23068-3 - Interoperabilidade entre os repositórios digitais do patrimônio cultural brasileiro: da Web Semântica e dados abertos ligados às ferramentas de busca e recuperação da informação |
| Beneficiário: | Dalton Lopes Martins |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |