Skip to main content
SpringerLink
Log in

Collection and Integration of Patent Data for Analysis and Validation of Brazilian Technical Production

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

The main objective of this work is to present an overview of Brazilian technical production from the analysis of patents registered in national repositories such as the National Institute of Industrial Property (INPI), as well as in international repositories such as Espacenet. Initially, all the INPI patent identifiers are collected so that later, all the data of these patents are collected in the Espacenet repository. In this way, a large local data repository is characterized, as standing out for having consistent and structured data. This strategy makes it possible to analyze the entire dataset with the adoption of several metrics, making it possible to present a broad and unprecedented portrait of Brazilian technical production. With the dataset retrieved, it is still possible to validate other repositories or datasets, such as the curriculum base of the Lattes Platform, in which their curricula in general do not have all the information about the patents duly registered. However, it is concluded that the collection and integration of data extracted from patent documents and stored in local repositories, significantly enable patentometric analyses that could not be performed in distributed repositories.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. https://busca.inpi.gov.br/pePI/.

  2. https://lp.espacenet.com/.

  3. https://worldwide.espacenet.com/.

  4. https://patentscope.wipo.int/search/en/search.jsf.

  5. https://www.uspto.gov/.

  6. https://english.cnipa.gov.cn/.

  7. https://www.jpo.go.jp/.

  8. https://lattes.cnpq.br/.

References

  1. Amadei JRP, Torkomian ALV (2009) University patents: analysis of the deposits of paulista public universities (1995–2006). 38:9–18 Ciência da Informação. https://doi.org/10.18225/ci.inf.v38i2.1241

  2. Mueller SPM, Perucchi V (2014) Universities and the production of patents: topics of interest to the student of technological information. Perspect. Inform. Sci, 19(2), 15–36. Available in: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413- 99362014000200003&lng = pt&tlng = pt. Access in: jan. 2023

  3. Ribeiro SPMJC (2014) O estado da arte da patentometria em periódicos inter- nacionais da ciência da informação. Encontro Brasileiro de bibliometria e cientometria

  4. Souza ASN, Bandeira AA, Ubirajara WM, Holanda FSR (2021) Mapeamento de depósitos de propriedade intelectual no INPI por discentes do programa de pós-graduação em Ciência da propriedade intelectual da universidade Federal de Sergipe. https://doi.org/10.51722/S2318-3403202100011344

  5. Cativelli AS (2020) Metric indicators of patent value: construction of a Value Index using brazilian green patents. Thesis (Doctorate in Information Science) - Federal University of Santa Catarina - Education Science Center. https://doi.org/10.13140/RG.2.2.13682.12481

    Article  Google Scholar 

  6. Sebrae D, de Patente, Brasil (2021) Available in: https://www.sebrae.com.br/sites/PortalSebrae/artigos/definicao-de-patente,230a634e2ca62410VgnVCM100000b272010aRCRD. Access in: jan. 2023

  7. Brasil (1996) Código de propriedade industrial - lei 9279/96. Diário Oficial da União, mai. Available in: https://www.planalto.gov.br/ccivil_03/leis/l9279.htm. Access in: jan. 2023

  8. INPI. Instituto Nacional da Propriedade Industrial. Brasil (2021) Available in: https://www.gov.br/inpi/pt-br. Access in: jan. 2023

  9. Mueller SPM, Perucchi V (2014) Universidades e a produção de patentes: tópicos de interesse para o estudioso da informação tecnológica. Perspectivas em Ciência da Informação 19:15–36. https://doi.org/10.1590/1981-5344/1828

    Article  Google Scholar 

  10. WIPO. Sistema de Classificação de patentes. 2020. Available in: http://ipc.inpi.gov.br/classifica-tions/ipc/ipcpub/?notion=scheme&version=20200101&symbol=none&menulang=pt&lang=pt&viewmode=f&fipcpc=no&showdeleted=yes&indexes=no&headings=yes&notes=yes&direction=o2n&initial=A&cwid=none&tree=no&searchmode=smart. Access in: jan. 2023.

  11. Brandão FG (2016) Democratization of information from the use of institutional digital repositories: from scientific communication to technological patent information. Thesis (Master’s degree) Universidade Regional Integrada do Alto Uruguai e das Missões, set. 2016. Available in: https://lume.ufrgs.br/handle/10183/179853. Access in: 24 mar. de 2021

  12. Scartassini FVB et al (2018) Patentometric study of Brazilian patents via pct. Encontro Nacional de Pesquisa e Pós-graduação em Ciência da Informação (XIX ENANCIB), n. XIX ENANCIB, Available in: http://hdl.handle.net/20.500.11959/brapci/102164. Access in: jan. 2023

  13. Menezes MS (2023) Potentiometric study related to pulmonary tuberculosis therapy. Thesis (Master’s degree) - Fundação Oswaldo Cruz, Programa de Pós-graduação Profissional em Gestão, Pesquisa e Desenvolvimento na Indústria Farmacêutica, do Instituto de Tecnologia em Fármacos, 2019. Available in: https://www.arca.fiocruz.br/handle/icict/37031. Access in:

  14. Fagundes MC, de Almada Garcia PA, da Silva Motta G, Armond-de-Melo DR (2014) Perfil Tecnológico da CSN: um estudo patentométrico. RAI Revista de Administração e Inovação 11(1):276–294. https://doi.org/10.5773/rai.v11i1.1307

    Article  Google Scholar 

  15. Nascimento R, Speziali M (2020) PATENTOMETRIA. Encontro Internacional de Gestão, Desenvolvimento e Inovação (EIGEDIN), 4(1). Available in: https://desafioonline.ufms.br/index.php/EIGEDIN/article/view/11705. Access in: jan. 2023

  16. Narin F (1995) Patents as indicators for the evaluation of industrial research output. Scientometrics 34(3):489–496. https://doi.org/10.1007/bf02018015

    Article  Google Scholar 

  17. GUZMAN SANCHEZ MV (1999) Patentometría: herramienta para el análisis de oportunidades tecnológicas. 1999. 130 f (Doctoral dissertation, Tese (Doutorado em Gerência de Información Tecnológica)–Facultad de Economia, Universidad de La Habana, La Habana)

  18. Aristodemou L, Tietze F (2018) The state-of-the-art on intellectual property analytics (IPA): a literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (IP) data. World Patent Inf 55:37–51. https://doi.org/10.1016/j.wpi.2018.07.002

    Article  Google Scholar 

  19. QUONIAM LM, KNIESS, C. T., MAZIERI MR (2014) The patent, object of research in Information Science and Communication. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 19, n. 39 ; 243–268, 24(2), 268 – 243. DOI: https://doi.org/10.5007/1518-2924.2014v19n39p243

  20. Morais SP, Garcia JCR (2014) O estado da arte da patentometria em periódicos internacionais da ciência da informação. Encontro Brasileiro de Bibliometria e Cientometria, 4. Available in: http://hdl.handle.net/20.500.11959/brapci/45400. Access in: jan. 2023

  21. Cativelli AS (2023) Patents of Brazilian Public Universities: Analysis of Concessions. Dissertation (Professional Master’s Dissertation in Management of Units of Information) - University of the State of Santa Catarina, 2016. Available in: https://www.udesc.br/arquivos/faed/id_cpmenu/1441/dissertacao_adriana_15689010225034_1441.pdf. Access in:

  22. Mendes MLS, de Melo DRA (2017) Technology assessment: a methodological proposal/Avaliacao tecnologica: uma proposta metodologica. RAC-Revista de Administracao Contemporanea, 21(4), 569–585. Available in: https://link.gale.com/apps/doc/A502000376/AONE?u=anon~1910dca0&sid=googleScholar&xid=bad05f8f. Access in: jan. 2023

  23. Speziali MG, Nascimento RDS (2021) Química Nova 43:1538–1548. https://doi.org/10.21577/0100-4042.20170620. Patentometria: uma ferramenta indispensável no estudo de desenvolvimento de tecnologias para a indústria química

  24. Cativelli AS, Pinto AL, Sanchez MLL (2021) Patent value index: measuring brazilian green patents based on family size, grant, and backward citation. Iberoamerican J Sci Meas Communication 1(1):004–004. https://doi.org/10.47909/ijsmc.03

    Article  Google Scholar 

  25. Reymond D (2021) Patents information for humanities research: could there be something? Iberoamerican J Sci Meas Communication 1(1):006–006. https://doi.org/10.47909/ijsmc.02

    Article  Google Scholar 

  26. Serrano BP, Junior JAG (2014) Revista Gestão da Produção Operações e Sistemas 9(1):101. https://doi.org/10.15675/gepros.v0i1.1145. Redes de inovação: mapeamento de inventores de patentes em uma empresa do setor de cosméticos

  27. Dias TMR A study of Brazilian scientific production based on data from the Lattes Platform. 181 p. Thesis (Doctorate in Mathematical and Computational Modeling) - Federal Center for Technological Education of Minas Gerais, September 2016. Available in:, url?sa=t& (2023) rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjh0riyucP-AhXDJLkGHUARCA0QFnoECAgQAQ&url=https%3A%2F%2Fsig.cefetmg.br%2Fsigaa%2FverArquivo%3FidArquivo%3D2033874%26key%3Dd8d1d2008e1ebe20f0f136527af3a222&usg=AOvVaw1W65ontFW5A0I9OGCx99O0. Access in: jan.

  28. Coimbra FS, Dias TMR (2021) Use of open data to analyze the publication of articles in scientific events. Iberoamerican J Sci Meas Communication 1(3):1–13. https://doi.org/10.47909/ijsmc.123

    Article  Google Scholar 

  29. Mascarenhas H, Dias TMR, Dias P (2021) Academic mobility of doctoral students in Brazil: an analysis based on Lattes platform. Iberoamerican J Sci Meas Communication 1(3):1–15. https://doi.org/10.47909/ijsmc.53

    Article  Google Scholar 

  30. Dias TM, Dias PM, Moita GF (2022) Collection and integration of scientific data for production analysis Brazilian scientific in open access journals. Advanced Notes in Information Science, 2, 34–42. DOI: https://doi.org/10.47909/anis.978-9916-9760-3-6.105

  31. Mascarenhas HAD, Dias TMR, Dias PM (2020) Adoption of Network Analysis Techniques to understand the training process in Brazil. AWARI 1(1):e004–e004. https://doi.org/10.47909/awari.63

    Article  Google Scholar 

  32. ESPECENET Espacenet patent search (2023) Available in: https://worldwide.espacenet.com/patent/. Access in:

Download references

Author information

Authors and Affiliations

  1. Federal Center for Technological Education of Minas Gerais (CEFET-MG), Minas Gerais, Brazil

    Raulivan Rodrigo da Silva & Thiago Magela Rodrigues Dias

  2. Brazilian Institute of Information in Science and Technology (IBICT), Brasília, Brazil

    Washington Luís Ribeiro de Carvalho Segundo

Authors
  1. Raulivan Rodrigo da Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thiago Magela Rodrigues Dias
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Washington Luís Ribeiro de Carvalho Segundo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thiago Magela Rodrigues Dias.

Ethics declarations

Conflict of Interest

The authors have no conflict of interest to declare that are relevant to the content of this article.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

da Silva, R.R., Dias, T.M.R. & de Carvalho Segundo, W.L.R. Collection and Integration of Patent Data for Analysis and Validation of Brazilian Technical Production. Mobile Netw Appl (2023). https://doi.org/10.1007/s11036-023-02234-3

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11036-023-02234-3

Keywords

Search

Navigation