Institutional data governance and open government challenges in public universities

Authors

DOI:

https://doi.org/10.36428/revistadacgu.v18i33.968

Keywords:

data governance, public universities, digital maturity, data quality, institutional transparency

Abstract

The growing production of data in the university environment expands opportunities for transparency, research, innovation, and evidence-based management, while also posing institutional challenges related to governance, data quality, and effective use. In this context, this study aims to describe and compare, based on publicly available documentary evidence, the degree of institutionalization of open data governance in public universities in the state of Bahia, Brazil, drawing on previously defined analytical categories to identify maturity patterns, organizational gaps, and recurring challenges to the consolidation of these initiatives. The methodological approach consists of a structured documentary analysis of institutional policies, development plans, digital portals, and public records, complemented by analytical instruments addressing data maturity and quality, as well as open data format categories. This approach allows the characterization of initiatives based on what is formally institutionalized and publicly disclosed, without resorting to normative assessments or technical audits. The results indicate a relatively homogeneous pattern across institutions, characterized by compliance with basic transparency mechanisms but low levels of governance institutionalization, limitations in technical standardization, weaknesses in data quality management, and limited integration of data use into institutional practices. The main limitations identified are associated with organizational dimensions, such as unclear responsibilities, limited intersectoral coordination, and the absence of continuous monitoring and improvement cycles. As its main contribution, the study proposes an integrated governance model oriented toward operational transparency, informed management, interoperability, and the social use of data, providing an analytical reference for institutional policy design and strategic planning in public universities.

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Author Biographies

  • Marcos Batista Figueredo, Bahia State University

    Professor da Universidade do Estado da Bahia (UNEB), vinculado ao DCET e ao PPGMSB. Mestre e Doutor em Modelagem Computacional pelo SENAI-CIMATEC. Atua em matemática, computação, modelagem matemática, visão computacional, padrões, computação quântica, ML e PLN.

  • Leandro Brito Santos, Universidade Federal do Recôncavo da Bahia (UFRB)

    Doutor em Modelagem Computacional, professor da UFRB/CETENS e colaborador do PPGMSB/UNEB. Atua em inovação, extensão e transferência de tecnologia, com ênfase em tecnologias sociais e assistivas, robótica cognitiva, análise de dados e laboratórios makers.

  • Alana Silva Lima, Universidade SENAI CIMATEC

    Formada em Sistemas de Informação, mestre em Modelagem e Simulação de Biossistemas e doutoranda em Modelagem Computacional e Tecnologia Industrial, com atuação voltada à pesquisa, inovação e desenvolvimento de soluções tecnológicas.

  • Edpaula Moitinho dos Anjos, Bahia State University

    Mestranda pela Universidade do Estado da Bahia (UNEB), com experiência em ensino de Matemática, tecnologias educacionais e educação científica. Atua em pesquisas sobre Inteligência Artificial, modelagem computacional e visão computacional aplicada à análise de dados.

  • Taís Souza de Andrade, Bahia State University

    Mestranda em Modelagem de Biossistemas (UNEB), bacharel em Sistemas de Informação e licenciada em Matemática. Especialista em Robótica, atua como professora técnica na Bahia, integrando experiência em programação e educação.

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Published

19.05.2026

Issue

Section

Governo Aberto: Transparência, Participação e Ouvidoria

How to Cite

Figueredo, M. B., Santos, L. B., Lima, A. S., dos Anjos, E. M., & de Andrade, T. S. (2026). Institutional data governance and open government challenges in public universities. Revista Da CGU, 18(33). https://doi.org/10.36428/revistadacgu.v18i33.968