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Sargiotis, D. (2024) Data Governance Maturity Models: Assessing and Enhancing Your Program. In: Sargiotis, D., Ed., Data Governance, Springer Nature Switzerland, 487-510.
https://doi.org/10.1007/978-3-031-67268-2_17

has been cited by the following article:

• TITLE: Designing a Comprehensive Data Governance Maturity Model for Kenya Ministry of Defence

  AUTHORS: Gilly Gitahi Gathogo, Simon Maina Karume, Josphat Karani

  KEYWORDS: Data Governance Maturity Model, Maturity Index, Kenya Ministry of Defence, Key Performance Indicators, Data Security Regulations

  JOURNAL NAME: Journal of Information Security, Vol.16 No.1, November 27, 2024

  ABSTRACT: The study aimed to develop a customized Data Governance Maturity Model (DGMM) for the Ministry of Defence (MoD) in Kenya to address data governance challenges in military settings. Current frameworks lack specific requirements for the defence industry. The model uses Key Performance Indicators (KPIs) to enhance data governance procedures. Design Science Research guided the study, using qualitative and quantitative methods to gather data from MoD personnel. Major deficiencies were found in data integration, quality control, and adherence to data security regulations. The DGMM helps the MOD improve personnel, procedures, technology, and organizational elements related to data management. The model was tested against ISO/IEC 38500 and recommended for use in other government sectors with similar data governance issues. The DGMM has the potential to enhance data management efficiency, security, and compliance in the MOD and guide further research in military data governance.