DATA STANDARDIZATION PROTOCOL FOR COVID-19 TECHNOLOGICAL SOLUTIONS AS AN INFORMATION SOURCE FOR OPEN INNOVATION

André Luis Marques Ferreira dos Santos; Priscila Rezende da Costa; Camila Naves Arantes; CELISE MARSON

doi:10.20397/2177-6652/2026.v26i3.3318

Autores/as

André Luis Marques Ferreira dos Santos Universidade Nove de Julho https://orcid.org/0000-0002-5232-0781
Priscila Rezende da Costa ESCOLA SUPERIOR DE PROPAGANDA E MARKETING https://orcid.org/0000-0002-7012-0679
Camila Naves Arantes Serviço Nacional de Aprendizagem https://orcid.org/0000-0002-4072-8624
CELISE MARSON UNINOVE https://orcid.org/0009-0005-5471-5911

DOI:

https://doi.org/10.20397/2177-6652/2026.v26i3.3318

Resumen

Objetivo: El estudio propone un protocolo para la estandarización de bases de datos de soluciones tecnológicas relacionadas con la COVID-19, con el objetivo de mejorar la interoperabilidad, la transparencia y el uso de estos datos como fuente de información para la innovación abierta.

Metodología: Se desarrolló un protocolo que define formatos de datos estandarizados, criterios de inclusión y exclusión, y directrices de interoperabilidad, aplicado a los datos del INPADOC (International Patent Documentation). Se analizaron casos de uso para evaluar el impacto de la estandarización en la agregación y el intercambio de información tecnológica.

Originalidad: La investigación contribuye al proponer un modelo estructurado y replicable para la integración de datos tecnológicos, abordando la falta de normas uniformes que dificultan la comparación y la cooperación internacional en contextos de crisis sanitaria.

Principales resultados: La aplicación del protocolo mostró mejoras significativas en la interoperabilidad y la agregación de los datos, fortaleciendo la colaboración interinstitucional e internacional. También se evidenció el potencial para descubrir nuevas rutas tecnológicas y mejorar las estrategias de respuesta ante emergencias sanitarias.

Contribuciones teóricas: El estudio amplía el debate sobre la gestión de datos en crisis globales al demostrar que la estandarización de las bases de datos tecnológicas es una condición esencial para la eficacia de la innovación abierta y para el avance científico en salud pública y tecnología.

Biografía del autor/a

André Luis Marques Ferreira dos Santos, Universidade Nove de Julho

My life journey is marked by a combination of academic and professional achievements, always driven by my passion for innovation and knowledge dissemination in the areas of Artificial Intelligence and Data Analysis. I have a deep understanding of analytical methodologies and a sharp ability to extract valuable information from complex datasets. My expertise lies in the use of advanced Artificial Intelligence, Data Analysis, and Statistics techniques to make discoveries, generate valuable insights, and drive innovation both in academia and the corporate sector, enabling substantial growth in the projects I lead and participate in. With a solid background in Artificial Intelligence, specializing in Natural Language Processing (NLP) and Bayesian Statistics, I dedicate my career to advancing this field and its various applications. With a broad and multidisciplinary background, I am a professional with a strong track record in the area of Quantitative Methods for Decision Making. I hold a PhD in Informatics and Knowledge Management, with a concentration in Intelligent Information Technology - Artificial Intelligence and Bayesian Statistics - from Nove de Julho University (2023). I also hold a Master's degree in Production Engineering, with a concentration in Production Management and Optimization - Artificial Intelligence, Applied Mathematics, and Computational Mathematics - from Nove de Julho University (2017). Additionally, I have a Lato Sensu Postgraduate degree in Applied Statistics in the field of Probability and Statistics, an MBA in Finance and Banking Administration (2007) from Nove de Julho University, and a Bachelor's degree in Mathematics (1999) from the Pontifical Catholic University of São Paulo, among other qualifications. With a solid background in teaching and research, my professional journey began in 2000 as a teacher of Mathematics, Statistics, Science, and related subjects. Throughout this journey, I have had the opportunity to teach from elementary to postgraduate levels. My passion for knowledge dissemination and innovation led me to found the platform "Métodos Exatos." This platform serves as a hub for disseminating cutting-edge research, providing educational resources, and fostering collaboration within the AI and data science communities. Through the platform, I aim to empower researchers and aspiring professionals by offering access to the latest tools, methodologies, and insights in the field. As a researcher in Artificial Intelligence, I actively participate in research groups, including the Smart and Sustainable Cities group (LabCidades) at Nove de Julho University, the international CODATMO - COVID Data Modeling consortium, and the FAPESP Project - DIAGNOSTIC AND THERAPEUTIC SOLUTIONS FOR COVID-19 PROTECTED BY PATENTS: SYSTEMATIZATION OF MAIN NETWORKS, ROUTES, AND TECHNOLOGIES. In addition to my professional achievements, I am actively involved in academic research, serving as a reviewer for prestigious journals such as the Open Journal of Mathematical Sciences and the International Journal of Innovation. In this role, I contribute my expertise to ensure the quality and integrity of published research.

Priscila Rezende da Costa , ESCOLA SUPERIOR DE PROPAGANDA E MARKETING

PhD in Business Administration from FEA-USP (2012), Master’s degree from FEA-RP USP (2007), and Bachelor’s degree from UFLA (2005). She is a Full Professor at ESPM, working in the Graduate Program in Business Administration (Master’s, Doctorate, and Postdoctoral levels), and serves as coordinator of both the ICT and NIT at ESPM. She also teaches in the Information Systems and International Relations programs. Editor-in-chief of Internext and scientific editor of IJI, she collaborates with several international journals. She is a member of ANPAD and IFM committees, leads conference tracks, and coordinates research projects funded by CAPES, CNPq, FAPESP, as well as an international project on social entrepreneurship in Latin America.

Camila Naves Arantes , Serviço Nacional de Aprendizagem

PhD in Business Administration (UNINOVE) with a research exchange at Dublin City University. Master’s in Technological Innovation (UFTM) and currently pursuing an MBA in Digital Transformation Management at USP. Lawyer specialized in Intellectual Property and Digital Law. Partner at Sabiá Intellectual Property and Research Collaborator at UFABC. Former coordinator of the UFTM Innovation Agency (2019–2023). Active in research projects funded by FAPESP, CNPq, FAPEMIG, and CAPES, with over BRL 500,000 in grants secured. Editorial board member of the International Journal of Innovation and reviewer for RBCTI and IPTEC. Recipient of academic awards such as Best Paper at X SINGEP and first place at XII EGEPE. Holds international certifications in innovation management, technology transfer, and digital law.

CELISE MARSON, UNINOVE

PhD Candidate in Business Administration (2025), Master’s in Business Administration (2024 – UNINOVE), MBA in Strategic Management and Market Intelligence (2021 – UNINOVE), Specialization in Business Management (2009 – UNINOVE), Bachelor’s Degree in Data Science (2024 – UNINOVE), and Bachelor’s Degree in Library Science (2003 – UNESP). Currently, she serves as the head librarian of the Osasco campus (UNINOVE) and also works in the Graduate Program in Law (Stricto Sensu) at UNINOVE.

Citas

Abbas, A., Zhang, L., & Khan, S. U. (2014). A literature review on the state-of-the-art in patent analysis. World Patent Information, 37, 3–13. https://doi.org/10.1016/J.WPI.2013.12.006

Abraham, B. P., & Moitra, S. D. (2001). Innovation assessment through patent analysis. Technovation, 21(4), 245–252. https://doi.org/10.1016/S0166-4972(00)00040-7

Batini, C., & Scannapieco, M. (2016). Data and information quality. Cham, Switzerland: Springer International Publishing, 63. https://link.springer.com/book/10.1007/978-3-319-24106-7

Biancolella, M., Colona, V. L., Luzzatto, L., Watt, J. L., Mattiuz, G., Conticello, S. G., Kaminski, N., Mehrian-Shai, R., Ko, A. I., Gonsalves, G. S., Vasiliou, V., Novelli, G., & Reichardt, J. K. V. (2023). COVID-19 annual update: a narrative review. Human Genomics 2023 17:1, 17(1), 1–14. https://doi.org/10.1186/S40246-023-00515-2

BitLaw. (2024). 301 Ownership/Assignability of Patents and Applications. Manual of Patent Examining Procedure. https://www.bitlaw.com/source/mpep/301.html

Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network Analysis in the Social Sciences. Science, 323(5916), 892–895.

Burgy, A. L., & Berkowitz, J. A. (2013). To File or Not to File As An Applicant-Assignee: That Is the Question. Finnegan. https://www.finnegan.com/en/insights/blogs/prosecution-first/to-file-or-not-to-file-as-an-applicant-assignee-that-is-the-question.html

Cammarano, A., Michelino, F., & Caputo, M. (2022). Extracting firms’ R&D processes from patent data to study inbound and coupled open innovation. Creativity and Innovation Management, 31(2), 322–339. https://doi.org/10.1111/CAIM.12495

Capone, F., & Innocenti, N. (2020). Open innovation and network dynamics. An analysis of openness of co-patenting collaborations in Florence, Italy. Competitiveness Review, 30(4), 379–396. https://doi.org/10.1108/CR-10-2019-0101/FULL/PDF

Chesbrough, H. (2020). To recover faster from Covid-19, open up: Managerial implications from an open innovation perspective. Industrial Marketing Management, 88, 410–413. https://doi.org/10.1016/J.INDMARMAN.2020.04.010

Chesbrough, H. W. (2006). The era of open innovation. In David, Mayle (Ed.). Managing Innovation and Change. 3th ed. London: Sage. https://www.google.com.br/books/edition/Managing_Innovation_and_Change/eVptX3b_sKgC?hl=pt-BR&gbpv=1&dq=Chesbrough,+H.+W.+(2003).+The+era+of+open+innovation.+MIT+Sloan+Management,+44(3),+35-41.+artigo&pg=PA127&printsec=frontcover

Clarivate. (2023). Derwent Innovation. Recuperado de https://clarivate.com/products/derwent-innovation/

Doan, A., Halevy, A., & Ives, Z. (2012). Principles of data integration. Elsevier. https://shop.elsevier.com/books/principles-of-data-integration/doan/978-0-12-416044-6

Ferraz, R. R. N., Quoniam, L., Reymond, D., & Nigro, C. A. (2014, September). Exemplo de uso gratuito do OPS (Open Patent Service) para educação e informação em patentes por meio da utilização da ferramenta computacional Patent2net. In XXXVIII Encontro da ANPAD (EnANPAD). https://archivesic.ccsd.cnrs.fr/sic_01809895

Dodgson, M, Gann, D., & Salter, A. (2006). The role of technology in the shift towards open innovation: the case of Procter & Gamble. R & D Management, 36(3), 333-346. http://dx.doi.org/10.1111/j.1467-9310.2006.00429.x

Hirata, D., Kniess, C. T., Cortese, T. T. P., & Quoniam, L. (2015). O uso de informações patentárias para a valorização de resíduos industriais: o caso do lodo de tratamento de esgoto doméstico. Revista de Ciências da Administração, 17(43), 55-71. https://www.redalyc.org/articulo.oa?id=273543309005

Holgersson, M., & Granstrand, O. (2017). Patenting motives, technology strategies, and open innovation. Management Decision, 55(6), 1265–1284. https://doi.org/10.1108/MD-04-2016-0233/FULL/PDF

Janavi, E., & Emami, M. (2020). A co-citation study of information security patents in the USPTO database. Library Hi Tech, 39(4), 936–950. https://doi.org/10.1108/LHT-05-2020-0111/FULL/PDF

Jialu, S., Zhiqiang, M., Binxin, Z., Haoyang, X., Fredrick Oteng, A., & Hu, W. (2021). Collaborative Innovation Network, Knowledge Base, and Technological Innovation Performance-Thinking in Response to COVID-19. Frontiers in Psychology, 12, 648276. https://doi.org/10.3389/FPSYG.2021.648276/BIBTEX

Kluyver, Thomas, Ragan-Kelley, Benjamin, Pérez, Fernando, Granger, Brian, Bussonnier, Matthias, Frederic, Jonathan, Kelley, Kyle, Hamrick, Jessica, Grout, Jason, Corlay, Sylvain, Ivanov, Paul, Avila, Damián, Abdalla, Safia, Willing, Carol & Jupyter development team, (2016). Jupyter Notebooks: a publishing format for reproducible computational workflows. https://ui.adsabs.harvard.edu/abs/2016ppap.book...87K/abstract

Liu, K., Zhang, X., Hu, Y., Chen, W., Kong, X., Yao, P., Cong, J., Zuo, H., Wang, J., Li, X., & Wei, B. (2022). What, where, when and how of COVID-19 patents landscape: A bibliometrics review. Frontiers in Medicine, 9, 925369. https://doi.org/10.3389/FMED.2022.925369/BIBTEX

Loizides, Fernando & Schmidt, Birgit (Ed.). (2016). Positioning and power in academic publishing: Players, Agents and agendas. Amsterdan: IOS Press. p. 87-90. doi:10.3233/978-1-61499-649-1-87.

Masiakowski, P., & Wang, S. (2013). Integration of software tools in patent analysis. World Patent Information, 35(2), 97-104. https://www.researchgate.net/publication/271880558_Integration_of_software_tools_in_patent_analysis

McKinney, W. (2010). Data Structures for Statistical Computing in Python. In Proceedings of the 9th Python in Science Conference, Austin, 28 June-3 July 2010, 56-61.

https://doi.org/10.25080/Majora-92bf1922-00a

Noh, H., & Lee, S. (2020). What constitutes a promising technology in the era of open innovation? An investigation of patent potential from multiple perspectives. Technological Forecasting and Social Change, 157. https://doi.org/10.1016/J.TECHFORE.2020.120046

Onyango, G., & Ondiek, J. O. (2022). Open innovation during the COVID‐19 pandemic policy responses in South Africa and Kenya. Politics & Policy (Statesboro, Ga.), 50(5), 1008–1031. https://doi.org/10.1111/POLP.12490

Patra, S. P. (2023). Role of open innovation and patents on strategic decision making. The Journal of World Intellectual Property, 26(3), 381–413. https://doi.org/10.1111/JWIP.12277

Patrucco, A. S., Trabucchi, D., Frattini, F., & Lynch, J. (2022). The impact of Covid-19 on innovation policies promoting Open Innovation. R and D Management, 52(2), 273–293. https://doi.org/10.1111/RADM.12495

Paskhaver, B. (2021). Pandas in action. Nova York: Manning Publications, 2021. https://learning.oreilly.com/library/view/pandas-in-action/9781617297434/OEBPS/Text/title.htm

Perkel, J. M. (2018). Why Jupyter is data scientists’ computational notebook of choice. Nature, 563:145–146. https://www.nature.com/articles/d41586-018-07196-1

Perkel, J. M. (2021). Reactive, reproducible, collaborative: computational notebooks evolve. Nature, 593:156–157. 10.1038/d41586-021-01174-w

Python Software Foundation. (2023). Python 3.10. Python Software Foundation. https://www.python.org/downloads/

Pimentel, J. F., Murta, L., Braganholo, V., & Freire, J. (2019). A large-scale study about quality and reproducibility of jupyter notebooks. In IEEE 6th International Conference on Mining Software Repositories (MSR). 507-517. 10.1109/MSR.2019.00077.

Pimentel, J. F., Oliveira, G. P., Silva, M. O., Seufitelli, D. B., & Moro, M. M. (2021). Ciência de Dados com Reprodutibilidade usando Jupyter. In.: Andrade, A. M. S. & Wazlawick, R. S. Jornada de Atualização em Informática. 10.5753/sbc.6757.3.1.

Quoniam, L., Kniess, C. T., & MAZIERI, M. R. (2014). A patente como objeto de pesquisa em Ciências da Informação e Comunicação. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, 19(39), 243-268. https://www.redalyc.org/articulo.oa?id=14730602013

Ritto, A. P., de Araujo, A. L., de Carvalho, C. R. R., De Souza, H. P., Favaretto, P. M. e. S., Saboya, V. R. B., Garcia, M. L., Kulikowski, L. D., Kallás, E. G., Pereira, A. J. R., Cobello Junior, V., Silva, K. R., Abdalla, E. R. F., Segurado, A. A. C., Sabino, E. C., Ribeiro Junior, U., Francisco, R. P. V., Miethke-Morais, A., Levin, A. S. S., … Busatto Filho, G. (2024). Data-driven, cross-disciplinary collaboration: Lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic. Frontiers in Public Health, 12.. https://doi.org/10.3389/FPUBH.2024.1369129/BIBTEX

Shen, H. (2014). Interactive notebooks: Sharing the code. Nature, 515(7525):151–152. https://www.nature.com/articles/515151a

Sperry, C., & Hammond, M. D. (2020). Procuring U.S. Patents without a Signed Assignment of Patent Rights. Mintz. https://www.mintz.com/insights-center/viewpoints/2231/2020-10-27-procuring-us-patents-without-signed-assignment-patent

Suh, Y., & Jeon, J. (2019). Monitoring patterns of open innovation using the patent-based brokerage analysis. Technological Forecasting and Social Change, 146, 595–605. https://doi.org/10.1016/J.TECHFORE.2018.01.037

Zhang, L., & Liu, Z. (2020). Research on technology prospect risk of high-tech projects based on patent analysis. Plos One, 15(10). https://doi.org/10.1371/JOURNAL.PONE.0240050

Zien, K. A., & Buckler, S. A. (2003). From experience dreams to market: Crafting a culture of innovation. Journal of Product Innovation Management, 14(4), 274-287. http://dx.doi.org/10.1016/S0737-6782(97)00029-5

Zoltan, J. Acs & Audretsch, D. B. (1989). Patents as a Measure of Innovative Activity. Kyklos, 42(2), 171–180. https://doi.org/10.1111/J.1467-6435.1989.TB00186.X