Banner Portal
BrCris
Imagem do logo do BRCris e uma montagem de links pelo celular
PDF (Português (Brasil))
PDF
ÁUDIO (Português (Brasil))
VÍDEO (Português (Brasil))
PARECER A (Português (Brasil))
PARECER B (Português (Brasil))

Keywords

Open science
Data repositories
Scientific data
Scientific information

How to Cite

SILVA, Vivian dos Santos; SILVA, Jesiel Viana da; DIAS, Thiago Magela Rodrigues; GABRIEL JUNIOR, Renê Faustino; CARVALHO-SEGUNDO, Washington Luís Ribeiro. BrCris: tools for treatment, analysis, and dissemination of scientific information in support of open science in Brazil . RDBCI: Digital Journal of Library and Information Science, Campinas, SP, v. 21, n. 00, p. e023027, 2023. DOI: 10.20396/rdbci.v21i00.8673171. Disponível em: https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8673171. Acesso em: 18 may. 2024.

Abstract

Introduction: CRIS systems constitute comprehensive information systems over the entire ecosystem of the scientific process. BrCris aims to integrate and organize information regarding research activities, projects, publications, researchers, institutions, financing and other relevant data in the Brazilian scientific context. Objective: This study aims to discuss data processing on the BrCris Platform and analyze the computational tools used for this purpose, exploring three main approaches: data integration and consistency, visualization and validation, in addition to data certification. Methodology: The study is descriptive, presenting in detail the BrCris data processing steps, discussing the challenges encountered in handling large volumes of information. Furthermore, it describes the computational tools used to process scientific and technological information. Results: The study reveals the procedures for data processing and the computational tools developed for information systems, as well as the integration and analysis of the data obtained. The results of the processing and modeling of information based on VIVO, with data and graphic panels, and the opportunities for reusing the generated data are presented. The integration of data into a self-declared repository (Lattes) and the theses and dissertations aggregator repository (Oasisbr) is also detailed, culminating in the issuance of a certification seal. Conclusion: The results show that the adoption of these computational tools provides easy and agile access to an extensive set of consolidated information, previously dispersed across various sources, especially due to the diversity of repositories and individual access limitations. Thus, this study presents a set of computational tools whose functionalities are aligned with the guidelines of Open Science in Brazil.

https://doi.org/10.20396/rdbci.v21i00.8673171
PDF (Português (Brasil))
PDF
ÁUDIO (Português (Brasil))
VÍDEO (Português (Brasil))
PARECER A (Português (Brasil))
PARECER B (Português (Brasil))

References

ABBAS, A.; ZHANG, L.; KHAN, S. U. A literature review on the state-of-the-art in patent analysis. World Patent Information, Oxford, UK, v. 37, p. 3-13, 2014.

ABBASI, A.; ALTMANN, J.; HOSSAIN, L. Identifying the effects of co-authorship networks on the performance of scholars: a correlation and regression analysis of performance measures and social network analysis measures. Journal of informetrics, Amsterdam, v. 5, n. 4, p. 594-607, 2011.

BAUER, F.; KALTENBÖCK, M. Linked open data: the essentials. Vienna: Edition mono/monochrom, 2011. p. 21, v.710.

COLLAZO-REYES, F. Growth of the number of indexed journals of Latin America and the Caribbean: the effect on the impact of each country. Scientometrics, Budapest, v. 98, p. 197-209, 2014.

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO (CNPq). Plataforma Lattes. Brasília. Disponível em: https://lattes.cnpq.br. Acesso em: 12 out. 2023.

DE MEIS, L. et al. The growing competition in Brazilian science: rites of passage, stress and burnout. Brazilian journal of medical and biological research, Ribeirão Preto, v. 36, p. 1135-1141, 2003.

DIAS, T. M. R. et al. Brcris: plataforma para integração, análises e visualização de dados técnicos-científicos. , p. 622-638, Informação e Informação, Londrina, v. 27, n. 3, 2022. DOI: https://doi.org/10.5433/1981-8920.2022v27n3p622.

DIAS, T. M. R. et al. In: WORKSHOP DE INFORMAÇÃO DADOS E TECNOLOGIA, 6., 2023, Brasília, DF. Anais... Brasília: Ibict, 2023. DOI: https://doi.org/10.22477/vi.widat.53.

EUROCRIS. Directory of Research Information Systems (DRIS). Nijmegen, Nertherlands. Disponível em: https://eurocris.org/services/dris. Acesso em: 23 out. 2023.

HUANG, Y.; GLÄNZEL, W.; ZHANG, L. Tracing the development of mapping knowledge domains. Scientometrics, Budapest, v. 126, p. 6201-6224, 2021.

JÖRG, B. CERIF: The common European research information format model. Data Science Journal, London, v. 9, p. CRIS24-CRIS31, 2010.

KONG, X. et al. Academic social networks: Modeling, analysis, mining and applications. Journal of Network and Computer Applications, London, v. 132, p. 86-103, 2019.

LANE, J. Let's make science metrics more scientific. Nature, London, v. 464, n. 7288, p. 488-489, 2010.

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

LETA, J.; GLÄNZEL, W.; THIJS, B. Science in Brazil. Part 2: Sectoral and institutional research profiles. Scientometrics, Budapest, v. 67, n. 1, p. 87-105, 2006.

MEADOWS, A. J. A comunicação científica. Trad. A. A. B. de Lemos. Brasília, DF: Briquet de Lemos, 1999.

PINTO, A. L. et al. The Brazilian current research information system: BrCris. In: SILVA, Carlos Guardado da Silva; REVEZ, Jorge; CORUJO, Luis (coord.).Organização do conhecimento no horizonte 2030: desenvolvimento sustentável e saúde. Lisboa: Universidade de Lisboa, 2021. p. 319. (Colecção CA–Ciência Aberta). ISBN 978-989-566-137-4. DOI: https://doi.org/10.51427/10451/50067.

RATHKE, S. B.; ROCHA, R. P. Sistema de informação de pesquisa: uso da ontologia de VIVO no contexto das instituições brasileiras. Brazilian Journal of Information Science, Marília, v.13, n.4, 2019. DOI: https://doi.org/10.36311/1981-1640.2019.v13n4.08.p132.

SINGH, V. K. The journal coverage of web of science, scopus and dimensions: A comparative analysis. Scientometrics, Budapest, v. 126, Jun., 2021. DOI: https://doi.org/10.1007/s11192-021-03948-5.

SIVERTSEN, G. Developing Current Research Information Systems (CRIS) as data sources for studies of research. In: GLÄNZEL, W. et al. (ed.). Springer handbook of science and technology indicators. [S.l.]: Springer, Cham. 2019. p. 667-683.

DOI: https://doi.org/10.1007/978-3-030-02511-3_25.

TANG, J. et al. Arnetminer: extraction and mining of academic social networks. In: ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 14th, 2008. Proceedings of the… Las Vegas, Nevada: ACM, 2008. p. 990-998. DOI: https://doi.org/10.1145/1401890.1402008.

TORINO, E.; CONEGLIAN, C. S.; VIDOTTI, S. A. B. G. Estruturas de representação para reuso de dados no contexto da ecologia de pesquisa: Cris institucional. Informação e Informação, Londrina, 2020, v.25, n. 3. DOI: https://doi.org/10.5433/1981-8920.2020v25n3p1.

YOSHIKANE, F.; KAGEURA, K. Comparative analysis of coauthorship networks of different domains: The growth and change of networks. Scientometrics, Budapest, v. 60, p. 435-446, 2004.

Creative Commons License

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

Copyright (c) 2023 Vivian dos Santos Silva, Jesiel Viana da Silva, Thiago Magela Rodrigues Dias, Renê Faustino Gabriel Junior, Washington Luís Ribeiro Carvalho-Segundo

Downloads

Download data is not yet available.