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

Authors

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://ror.org/040g62b80] https://orcid.org/0000-0002-7012-0679
Camila Naves Arantes Serviço Nacional de Aprendizagem Industrial [https://ror.org/035c3nf67] 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

Abstract

Objective: The study proposes a protocol for the standardization of databases of technological solutions related to COVID-19, aiming to improve interoperability, transparency, and the use of these data as an information source for open innovation.

Methodology: A protocol was developed that defines standardized data formats, inclusion and exclusion criteria, and interoperability guidelines, applied to INPADOC (International Patent Documentation) data. Use cases were analyzed to assess the impact of standardization on the aggregation and sharing of technological information.

Originality: The research contributes by proposing a structured and replicable model for the integration of technological data, addressing the lack of uniform standards that hinder comparison and international cooperation in health crisis contexts.

Main results: The application of the protocol showed significant improvements in data interoperability and aggregation, strengthening interinstitutional and international collaboration. It also revealed the potential for discovering new technological routes and enhancing strategies for responding to health emergencies.

Theoretical contributions: The study broadens the debate on data management in global crises by demonstrating that the standardization of technological databases is an essential condition for the effectiveness of open innovation and for scientific advancement in public health and technology.

Author Biographies

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 [https://ror.org/040g62b80]

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 Industrial [https://ror.org/035c3nf67]

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.

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