Governmental Data Governance Frameworks: A Systematic Literature Review

Data governance is growing from a nice-to-have approach to becoming mandatory in all types of organisations. However, there is a lack of research addressing the implementation of formal data governance in the public sector. This research aims to review the state of the art in research on government data governance frameworks. Firstly, we reviewed the existing frameworks through a systematic literature review to identify, analyse, and assess the published and peer-reviewed data governance frameworks, with a particular interest in the public sector. The main purpose is to find the key aspects that have been researched and identify the shortcomings of the existing frameworks. Government data governance has set itself apart from other data governance frameworks that depend on corporate firms’ perspectives to generate business value. The creation of public value is the primary driver of government data governance, which has different organisational scopes and governance purposes. As a result of functional differences, reconfiguring the existing frameworks is fundamental for governments. This reconfiguration created new dimensions referred to as organisational scope and data scope, in addition to the structural, procedural, and relational governance mechanisms.