Data-driven editorial management: an indicator model applied to peer review

Authors

DOI:

https://doi.org/10.5007/1518-2924.2026.e107950

Keywords:

Editorial management, Peer review, Editorial indicators, Business Intelligence, Open Journal Systems

Abstract

Objective: To characterize the peer review process of the journal Cadernos Ibero-Americanos de Direito Sanitário (CIADS) between 2015 and 2025 through the construction and application of an analytical indicator model derived from Open Journal Systems (OJS) metadata and integrated with Business Intelligence tools.

Method: A documentary, descriptive, and quantitative study with a retrospective longitudinal design. Metadata from the Review Report module were extracted in CSV format, subjected to cleaning, standardization, and modeling procedures, and transformed into editorial indicators related to reviewer assignments, geographic participation, temporal distribution of completed reviews, recommendation categories, and editorial interventions. Analyses were operationalized through analytical measures and the visualization of results in Power BI dashboards.

Results: A total of 1,119 reviewer assignments involving 235 reviewers were identified, resulting in 898 completed reviews. The review process was characterized by the recurrent concentration of invitations among a restricted group of reviewers, international participation with a complementary role to the national base, and the occurrence of three distinct temporal phases over the historical series. The predominant recommendations were “Accept” (40.91%) and “Mandatory revisions” (37.9%). Editorial follow-up included 344 reminders and 44 cancellations.

Conclusions: The integration of OJS metadata with Business Intelligence tools enabled the transformation of operational records into descriptive analytical evidence, making visible structural patterns, asymmetries, and dynamics of the peer review process. The proposed indicator model proved to be low-cost and applicable to scientific journals with different profiles, within the limits of the available data and the adopted methodological scope.

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Author Biographies

Danilo Silva Santos Rocha, Fundação Oswaldo Cruz

He holds a degree in Internet Systems from the Federal Institute of Education, Science, and Technology of Brasília (2023) and in Public Health from the University of Brasília (2019). He is currently a collaborator in the Health Law Program at the Oswaldo Cruz Foundation in Brasília. He has experience in public health, with an emphasis on research projects, scientific investigations, data analysis, business intelligence (BI), and social network analysis (SNA), as well as the development and application of qualitative and quantitative research methodologies. He also works in information science, focusing on scientific journal publishing, including editorial management on electronic platforms, digital curation of scientific data, and technical review of content, in addition to the application of interoperability standards for scientific information.

Gabriel Teles, Universidade de Brasília

Postdoctoral fellow in Sociology from PPGSOL/UnB, PhD in Sociology from PPGS/USP, Master in Sociology from PPGS/UFG, and Bachelor's degree in Social Sciences/UFG. He was a substitute professor at UFRN, UEMA, and IFGO. He is the executive editor of the journal Cadernos Ibero-Americanos de Direito Sanitário (CIADS), affiliated with FioCruz. He is a member of the executive secretariat of Revista Plural (USP). He is a researcher at the Research and Study Group on Theories of Authoritarianism (USP), the Research Group on the World of Work and Social Theory (UnB), the Research Group on Dialectics and Society (UFG), and the Center for Studies and Research on Social Movements (UFG). He has experience in Sociology, working primarily on the following topics: sociology of intellectuals, historical materialism, digital sociology, social movements, and sociology of work.

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Published

2026-04-30

How to Cite

ROCHA, Danilo Silva Santos; TELES, Gabriel. Data-driven editorial management: an indicator model applied to peer review. Encontros Bibli: electronic journal of library science, archival science and information science, Florianópolis/SC, Brasil, v. 31, p. 1–25, 2026. DOI: 10.5007/1518-2924.2026.e107950. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/107950. Acesso em: 17 jun. 2026.

Issue

Vol. 31 (2026): Ethics and informational integrity in the climate emergency: the socio-environmental responsibility of Information Science.

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Copyright (c) 2026 Danilo Silva Santos Rocha, Gabriel Teles

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