Improving Information Quality in E-Government of Ukraine
Abstract
Current research in the field of e-government does not take into account the growing problem of the quality of documents in public administration bodies. Recent works on information quality focus on solving technological problems of information support of public administration. However, increasing the efficiency and information systems effectiveness does not ensure the producing high-quality information in terms of its content. Therefore, the problem of information quality, when the main focus is on organisational issues and staff qualifications, is not sufficiently investigated. This paper developed a hierarchical framework for assessing information quality, conducted a study of the quality of documents in public administration authorities and identified the main characteristics of information from the point of view of the management process. The results of the study provide an opportunity to identify the main ways to improve the quality of information used in public administration.
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The reuse of predefined process fragments provides a systematic way to integrate checks, reduce errors, and enhance reliability.
“The reuse of predefined process fragments provides a systematic way to integrate checks, reduce errors, and enhance reliability [28]”
From Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles (2025) · cites this paper as [28]
Reusable 'information quality fragments' reduce modeling time, provide explicit checkpoints, and increase confidence, while their validation by domain experts demonstrates feasibility.
“Reusable 'information quality fragments' reduce modeling time, provide explicit checkpoints, and increase confidence, while their validation by domain experts demonstrates feasibility [28].”
From Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles (2025) · cites this paper as [28]
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Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles
Guillen-Aguinaga, M., Aguinaga-Ontoso, E., Guillen-Aguinaga, L., Guillen-Grima, F., & Aguinaga-Ontoso, I. (2025) · Data · doi:10.3390/data10120201 · Cited by 37 · see citing works
- Authors
- Oliychenko, I., & Ditkovska, M.
- Affiliations
- Chernihiv Polytechnic National University (UA)
- ORCID
- Oliychenko, Igor
- Venue
- Electronic Government, an International Journal
- Publisher
- Inderscience Publishers
- Published
- 2023
- Volume
- 19
- Issue
- 2
- Pages
- 146
- ISSN
- 1740-7494 (ISSN-L)
- 1740-7508
- OpenAlex
- W4323907120
- Cited by
- 1
- References
- 0
- Citations by year
- 2024: 1
- FWCI
- 0.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronic Government an International Journal (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems and Technology Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
- Keywords
- information quality, e-government, public administration, document quality, employee qualification, management process
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