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.
O artigo apresenta uma discussão sobre tipos de indicadores e fontes de informação para a construção de sistemas cientométricos como base de análise de uma política científica e tecnológica. Propõe-se uma análise da correlação entre a Avaliação Trienal da CAPES e o Mapa de Investimentos do CNPq para identificar possíveis relacionamentos entre desempenho de programas de pós-graduação e investimentos realizados. O estudo mostra evidências de que os programas mais antigos e que possuem maior número de professores tendem a apresentar maior produtividade e nível de investimento.
This article aims to clarify the use of data science techniques in information science by reporting data collection from the digital repositories of entities linked to the Special Secretariat of Culture of Brazil. This process is part of a research project promoted by the Foundation of Research Support of the State of São Paulo and carried out at the University of Brasília by the Network Intelligence Laboratory. The quantitative descriptive methodology applied alludes to extracting, transforming, and data load used in the constitution of data warehouses, in which Python scripts were developed to collect the data. The results indicate how many scripts were needed and how many storage files were generated, in addition to the description of the data collected, denoting a greater use of the web scraping technique, making the collection process more difficult. Thus, the article points out how the current reality of the analyzed Brazilian cultural institutions is far from enabling the aggregation of their digital repositories. At the same time, it points out how data science strategies allow information science professionals to overcome existing technical barriers and promote data analysis and reuse.
Neste artigo, apresentamos uma rede de atores que defendem a educação domiciliar no Brasil. Nosso objetivo é contribuir para a identificação dos atores e para a compreensão da educação domiciliar em si bem como para o entendimento do movimento conservador brasileiro, que se manifesta em uma aliança conservadora. Para tanto, trazemos o contexto do avanço do conservadorismo no Brasil, por meio de um complexo referencial teórico. Na sequência, trazemos um panorama sobre a educação domiciliar no Brasil e no mundo. Na seção seguinte, tratamos da metodologia da pesquisa que gerou este artigo, apresentando a forma como foram coletados os dados utilizados na elaboração do mapeamento da rede estudada. Por fim, apresentamos a rede da educação domiciliar no Brasil, situando atores e oferecemos considerações finais. Concluímos que a defesa da educação domiciliar conta com argumentos característicos de distintos grupos, mostrando a potencialidade do conceito de aliança conservadora e de articulação para análise e compreensão do conservadorismo brasileiro.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.