Enhancing Privacy in eGovernment: A Scoping Review of Data Minimization Techniques

Authors

Marlon V. Gamido
Tarlac State University image/svg+xml
DOI: https://doi.org/10.52549/ijeei.v13i4.7110
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Published: 31-12-2025 • Issue: Vol. 13 No. 4: December 2025 • Section: Regular paper

Abstract

The protection of personal data collected by e-government services plays an important role in balancing privacy and personalization establishing user trust, operational efficiency, and regulatory compliance. This scoping review investigates data minimization techniques used in personalized e-government services, identifying available techniques, and challenges. A key strategy for enhancing privacy involves limiting data collection and processing to what is only necessary for service delivery, particularly in e-government services. The scoping review, following the PRISMA ScR approach, addresses research questions on the current data minimization techniques in e-government services, their impact on personalization, challenges and barriers to implementation, and the perceived benefits from different stakeholders’ perspectives. From the formulated research questions covering the objectives of this scoping review it identified 2408 documents using relevant search query statements from available academic databases, after conducting screening and eligibility checks, only 20 documents are included in this review. From the documents, only proportional logic and game theory data minimization technique is used in e-governance systems. The impacts of data minimization techniques to personalization, the barriers and challenges in the implementation of data minimization, and the perceived benefits from the major stakeholders of the e-government systems were identified from the covered documents. This review has provided insights as to the extent of studies which include aspects of data minimization application in various egovernment systems. Findings provide direction to future research, policy formulation, and practice, emphasizing gaps and guiding future studies to a more comprehensive understanding of balancing privacy and personalization through data minimization in e-government services.
Keywords: Data minimization; Data Privacy; Personalization; E-government Services; IT Governance

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Author Biographies

Marlon V. Gamido
Department of Information Technology, College of Computer Studies

How to Cite

[1]
M. V. Gamido, “Enhancing Privacy in eGovernment: A Scoping Review of Data Minimization Techniques”, IJEEI, vol. 13, no. 4, pp. 1095–1106, Dec. 2025, doi: 10.52549/ijeei.v13i4.7110.