Árvore da Ciência: Uma Plataforma para Exploração da Genealogia Acadêmica Brasileira
Resumo
Identificar e estudar a formação dos pesquisadores ao longo dos anos é uma tarefa desafiadora, pois os atuais repositórios de teses e dissertações são catalogados de forma descentralizada em diferentes bibliotecas digitais. Neste artigo, damos um passo à frente na construção de um grande repositório para registro da genealogia acadêmica brasileira. Para isso, coletamos dados da plataforma Lattes, mantida pelo Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), e desenvolvemos uma plataforma voltada a usuários finais para gerar as árvores genealógicas acadêmicas dos pesquisadores brasileiros a partir dos dados coletados, fornecendo também dados adicionais sobre as principais propriedades dessas árvores. Nosso esforço identificou aspectos interessantes relacionados à trajetória acadêmica dos pesquisadores brasileiros, que destacam a importância de se catalogar as suas árvores genealógicas acadêmicas.
Palavras-chave:
Visualização de Dados, Avaliação com Usuários, Genealogia Acadêmica, Plataforma Lattes, Plataforma Árvore da Ciência
Referências
Barabasi, A.-L., Jeong, H., N ́eda, Z., Ravasz, E., Schubert, A., and Vicsek, T. (2002). Evolution of the social network of scientific collaborations.Physica A: Statistical mechanics and its applications, 311(3-4):590–614.
Chang, S. (2003). Academic genealogy of american physicists.AAPPS Bull., 13(6):6–41.
Cota, J. M. M. C. (2020).Uma Plataforma para Exploração da Genealogia Acadêmica Brasileira. Dissertação de Mestrado, Universidade Federal de Minas Gerais, Belo Horizonte,Brasil
Damaceno, R. J. P., Rossi, L., Mugnaini, R., and Mena-Chalco, J. P. (2019). The Brazilian academic genealogy: evidence of advisor-advisee relationships through quantitative analysis.Scientometrics, 119(1):303–333.
David, S. V. and Hayden, B. Y. (2012). Neurotree: A collaborative, graphical database ofthe academic genealogy of neuroscience.PloS One, 7(10).
Digiampietri, L., Mugnaini, R., Trucolo, C., Delgado, K., Mena-Chalco, J., and Köhler,A. (2019). Geographic and disciplinary distribution of the Brazilian’s PhD community.Brazilian Journal of Information Science: Research Trends, 13(4):113–131
Dores, W., Soares, E., Benevenuto, F., and Laender, A. H. F. (2017). Building the Brazilian Academic Genealogy Tree. InResearch and Advanced Technology for Digital Libraries -21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017,Thessaloniki, Greece, Sept. 18-21, 2017, Proceedings, pages 537–543
Ferreira, A. A., Gonc ̧alves, M. A., and Laender, A. H. F. (2012). A Brief Survey of Automatic Methods for Author Name Disambiguation.SIGMOD Record, 41(2):15–26
Ferreira, A. A., Gonc ̧alves, M. A., and Laender, A. H. F. (2020).Automatic Disambiguation of Author Names in Bibliographic Repositories. Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan & Claypool Publishers, San Rafael, C
Hart, R. E. and Cossuth, J. H. (2013). A family tree of tropical meteorology’s academic community and its proposed expansion.Bulletin of the American Meteorological Society,94(12):1837–1848.
Hirshman, B. R., Tang, J. A., Jones, L. A., Proudfoot, J. A., Carley, K. M., Marshall, L.,Carter, B. S., and Chen, C. C. (2016). Impact of medical academic genealogy on publi-cation patterns: an analysis of the literature for surgical resection in brain tumor patients.Annals of Neurology, 79(2):169–177
Jackson, A. (2007). A Labor of Love: The Mathematics Genealogy Project.Notices of theAMS, 54(8):1002–1003
Lazar, J., Feng, J. H., and Hochheiser, H. (2017).Research methods in human-computer interaction. Morgan Kaufmann, Burlington, Massachusetts, US
Madeira, G., Borges, E. N., Lucca, G., Santos, H., and Dimuro, G. (2019). An Information System for Analyzing Academic Genealogy. InProceedings of the 21st International Conference on Enterprise Information Systems, ICEIS 2019, Heraklion, Crete, Greece,May 3-5, 2019, Volume 1, pages 114–120. Springer
Malmgren, R. D., Ottino, J. M., and Amaral, L. A. N. (2010). The role of mentorship inprotégé performance.Nature, 465(7298):622
Mena-Chalco, J. P., Digiampietri, L. A., Lopes, F. M., and Cesar, R. M. (2014). Brazilian bibliometric coauthorship networks.Journal of the Association for Information Scienceand Technology, 65(7):1424–1445.
Newman, M. E. (2004). Coauthorship networks and patterns of scientific collaboration.Proceedings of the National Academy of Sciences, 101(suppl 1):5200–5205
Pessoa Junior, G. J., Dias, T. M. R., Silva, T. H. P., and Laender, A. H. F. (2020). On inter-disciplinary collaborations in scientific coauthorship networks: the case of the Brazilian community.Scientometrics, 124(3):2341–2360.
Pressman, R. S. and Maxim, B. R. (2019).Software Engineering: A Practitioner’s Appro-ach. McGraw Hill, New York, USA, 9th editi
Tuesta, E. F., Delgado, K. V., Mugnaini, R., Digiampietri, L. A., Mena-Chalco, J. P., andP ́erez-Alcázar, J. J. (2015). Analysis of an advisor-advisee relationship: An exploratory study of the area of exact and earth sciences in Brazil.PloS One, 10(5):e0129065
Chang, S. (2003). Academic genealogy of american physicists.AAPPS Bull., 13(6):6–41.
Cota, J. M. M. C. (2020).Uma Plataforma para Exploração da Genealogia Acadêmica Brasileira. Dissertação de Mestrado, Universidade Federal de Minas Gerais, Belo Horizonte,Brasil
Damaceno, R. J. P., Rossi, L., Mugnaini, R., and Mena-Chalco, J. P. (2019). The Brazilian academic genealogy: evidence of advisor-advisee relationships through quantitative analysis.Scientometrics, 119(1):303–333.
David, S. V. and Hayden, B. Y. (2012). Neurotree: A collaborative, graphical database ofthe academic genealogy of neuroscience.PloS One, 7(10).
Digiampietri, L., Mugnaini, R., Trucolo, C., Delgado, K., Mena-Chalco, J., and Köhler,A. (2019). Geographic and disciplinary distribution of the Brazilian’s PhD community.Brazilian Journal of Information Science: Research Trends, 13(4):113–131
Dores, W., Soares, E., Benevenuto, F., and Laender, A. H. F. (2017). Building the Brazilian Academic Genealogy Tree. InResearch and Advanced Technology for Digital Libraries -21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017,Thessaloniki, Greece, Sept. 18-21, 2017, Proceedings, pages 537–543
Ferreira, A. A., Gonc ̧alves, M. A., and Laender, A. H. F. (2012). A Brief Survey of Automatic Methods for Author Name Disambiguation.SIGMOD Record, 41(2):15–26
Ferreira, A. A., Gonc ̧alves, M. A., and Laender, A. H. F. (2020).Automatic Disambiguation of Author Names in Bibliographic Repositories. Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan & Claypool Publishers, San Rafael, C
Hart, R. E. and Cossuth, J. H. (2013). A family tree of tropical meteorology’s academic community and its proposed expansion.Bulletin of the American Meteorological Society,94(12):1837–1848.
Hirshman, B. R., Tang, J. A., Jones, L. A., Proudfoot, J. A., Carley, K. M., Marshall, L.,Carter, B. S., and Chen, C. C. (2016). Impact of medical academic genealogy on publi-cation patterns: an analysis of the literature for surgical resection in brain tumor patients.Annals of Neurology, 79(2):169–177
Jackson, A. (2007). A Labor of Love: The Mathematics Genealogy Project.Notices of theAMS, 54(8):1002–1003
Lazar, J., Feng, J. H., and Hochheiser, H. (2017).Research methods in human-computer interaction. Morgan Kaufmann, Burlington, Massachusetts, US
Madeira, G., Borges, E. N., Lucca, G., Santos, H., and Dimuro, G. (2019). An Information System for Analyzing Academic Genealogy. InProceedings of the 21st International Conference on Enterprise Information Systems, ICEIS 2019, Heraklion, Crete, Greece,May 3-5, 2019, Volume 1, pages 114–120. Springer
Malmgren, R. D., Ottino, J. M., and Amaral, L. A. N. (2010). The role of mentorship inprotégé performance.Nature, 465(7298):622
Mena-Chalco, J. P., Digiampietri, L. A., Lopes, F. M., and Cesar, R. M. (2014). Brazilian bibliometric coauthorship networks.Journal of the Association for Information Scienceand Technology, 65(7):1424–1445.
Newman, M. E. (2004). Coauthorship networks and patterns of scientific collaboration.Proceedings of the National Academy of Sciences, 101(suppl 1):5200–5205
Pessoa Junior, G. J., Dias, T. M. R., Silva, T. H. P., and Laender, A. H. F. (2020). On inter-disciplinary collaborations in scientific coauthorship networks: the case of the Brazilian community.Scientometrics, 124(3):2341–2360.
Pressman, R. S. and Maxim, B. R. (2019).Software Engineering: A Practitioner’s Appro-ach. McGraw Hill, New York, USA, 9th editi
Tuesta, E. F., Delgado, K. V., Mugnaini, R., Digiampietri, L. A., Mena-Chalco, J. P., andP ́erez-Alcázar, J. J. (2015). Analysis of an advisor-advisee relationship: An exploratory study of the area of exact and earth sciences in Brazil.PloS One, 10(5):e0129065
Publicado
18/07/2021
Como Citar
COTA, João M. M. C.; LAENDER, Alberto H. F.; PRATES, Raquel O..
Árvore da Ciência: Uma Plataforma para Exploração da Genealogia Acadêmica Brasileira. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 48. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 288-298.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2021.15834.
