BRCRIS

platform for integration, analysis and visualization of technical-scientific data

Authors

DOI:

https://doi.org/10.5433/1981-8920.2022v27n3p622

Keywords:

Open Access, Information Retrieval, Scientific Data, Open Data

Abstract

Objective: In this work, we present the BrCris Platform development process, whose objective is to provide technological tools to provide the Brazilian academic community with integrated and consolidated data on scientific production in Brazil.
Methodology: initially, in order to contemplate the proposed objectives, a set of data repositories were selected, and after extracting these sets, the data were transformed into a model based on entities and relationships, being integrated for the proposed analyzes and visualizations.
Results: As a result of the construction of the BrCris Platform, it was possible to obtain a set of consistent technical-scientific data to enable different types of analyses.
Conclusions: This initiative presents itself as a unique data aggregation mechanism, enabling scientometric visualizations and analyzes on the present, past and future of Brazilian scientific production.

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Author Biographies

Thiago Magela Rodrigues Dias, Centro Federal de Educação Tecnológica de Minas Gerais (CEFET-MG)

PhD in Mathematical and Computational Modeling (CEFET/MG). Professor at the Federal Center for Technological Education of Minas Gerais (CEFET/MG), Divinópolis, Brazil.

Jesus Pascual Mena-Chalco, Universidade Federal do ABC (UFABC)

PhD in Computer Science from the University of São Paulo (USP). Professor at the Federal University of ABC (UFABC), Santo André, Brazil.

Washington Luís Ribeiro de Carvalho Segundo, Universidade de Brasília (UnB)

PhD in Informatics from the University of Brasília (UnB), Brasília, Brazil.

Adilson Luiz Pinto, Universidade Federal de Santa Catarina (UFSC)

PhD in Documentation from Universidad Carlos III de Madrid. Professor at the Department of Information Science at the Federal University of Santa Catarina (UFSC), Florianópolis, Brazil.

Tales Henrique José Moreira, Centro Federal de Educação Tecnológica de Minas Gerais (CEFET/MG)

Master in Mathematical and Computational Modeling by the Federal Center of Technological Education of Minas Gerais (CEFET/MG), Belo Horizonte, Brazil.

References

KONG, X.; SHI, Y.; YU, S.; LIU, J.; XIA, F. Academic social networks: Modeling, analysis, mining and applications. Journal of Network and Computer Applications, [S.l.], v. 132, p. 86-103, 2019. Disponível em: https://dl.acm.org/doi/abs/10.1016/j.jnca.2019.01.029. Acesso em: 27 mar. 2023. DOI: https://doi.org/10.1016/j.jnca.2019.01.029

LEE, S.; BOZEMAN, B. The impact of research collaboration on scientific productivity. Social Studies of Science, v. 35, n. 5, p.673-702, 2005. Disponível em: https://elibrary.ru/item.asp?id=11423996. Acesso em: 27 mar. 2023. DOI: https://doi.org/10.1177/0306312705052359

PAEZ, A. Gray literature: An important resource in systematic reviews. Journal of Evidence‐Based Medicine, v. 10, n. 3, p. 233-240, 2017. Disponível em: https://onlinelibrary.wiley.com/doi/abs/10.1111/jebm.12266. Acesso em: 27 mar. 2023. DOI: https://doi.org/10.1111/jebm.12266

PINTO, A. L; DIAS, T. M. R.; SILVA, V. S.; GOMES, J. C.; CARVALHO SEGUNDO, W. L. R. de. BrCris como um sistema de recomendação cintífico-tecnológica. In: ENCONTRO NACIONAL DE PESQUISA EM CIÊNCIA DA INFORMAÇÃO, 21., 2021. Rio de Janeiro (online). Anais [...]. Rio de janeiro: Ancib, 2021. Disponível em: https://enancib.ancib.org/index.php/enancib/xxienancib/paper/view/335/456. Acesso em: 27 mar. 2023.

RAMSDEN, P. Describing and explaining research productivity. Higher education, v. 28, n. 2, p. 207-226, 1994. Disponível em: https://www.jstor.org/stable/3447753. Acesso em: 27 mar. 2023. DOI: https://doi.org/10.1007/BF01383729

SINGH, V. K.; SINGH, P.; KARMAKAR, M.; LETA, J.; MAYR, P. The journal coverage of web of science, scopus and dimensions: A comparative analysis. Scientometrics, [S.l.], v. 126, p. 1-30, 2021. Disponível em: https://ideas.repec.org/a/spr/scient/v126y2021i6d10.1007_s11192-021-03948-5.html. Acesso em: 27 mar. 2023.

SIVERTSEN, G. Developing Current Research Information Systems (CRIS) as data sources for studies of research. In: GLÄNZEL, W.; MOED, H. F.; SCHMOCH, U.; THELWALL, M. (ed.). Springer Handbook of Science and Technology Indicators. Springer Handbooks. Springer, Cham. p. 667-683, 2019. Disponível em: https://doi.org/10.1007/978-3-030-02511-3_25. Acesso em: 27 mar. 2023. DOI: https://doi.org/10.1007/978-3-030-02511-3_25

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Published

2023-04-27

How to Cite

Dias, T. M. R., Mena-Chalco, J. P., Carvalho Segundo, W. L. R. de, Pinto, A. L., & Moreira, T. H. J. (2023). BRCRIS: platform for integration, analysis and visualization of technical-scientific data. Informação & Informação, 27(3), 622–638. https://doi.org/10.5433/1981-8920.2022v27n3p622

Issue

Vol. 27 No. 3 (2022): Estudos Métricos da Informação

Section

Dossiê Temático

License

Copyright (c) 2023 Thiago Magela Rodrigues Dias, Jesus Mena-Chlaco, Washington Luís Ribeiro de Carvalho Segundo, Adilson Luiz Pinto, Tales Henrique José Moreira

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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