Governmental data governance frameworks: a systematic literature review
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, re-configuring 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.
Data governance framework, government data governance, systematic literature review
150-156
Alsaad, Arwah
e4c72de7-c380-4753-8e67-fd9f22238718
6 September 2023
Alsaad, Arwah
e4c72de7-c380-4753-8e67-fd9f22238718
Alsaad, Arwah
(2023)
Governmental data governance frameworks: a systematic literature review.
Miraz, Mahdi H., Southall, Garfield, Ali, Maaruf, Ware, Andrew, Campbell, Carlene and Walcott, Terry
(eds.)
In Proceedings - 2023 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2023.
IEEE.
.
(doi:10.1109/iCCECE59400.2023.10238504).
Record type:
Conference or Workshop Item
(Paper)
Abstract
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, re-configuring 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.
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Published date: 6 September 2023
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© 2023 IEEE.
Venue - Dates:
2023 International Conference on Computing, Electronics & Communications Engineering (iCCECE), , Swansea, United Kingdom, 2023-08-14 - 2023-08-16
Keywords:
Data governance framework, government data governance, systematic literature review
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Local EPrints ID: 481951
URI: http://eprints.soton.ac.uk/id/eprint/481951
PURE UUID: 46acc500-af10-43b5-ac34-3ceff9a414f0
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Date deposited: 14 Sep 2023 16:33
Last modified: 20 Nov 2024 02:57
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Contributors
Author:
Arwah Alsaad
Editor:
Mahdi H. Miraz
Editor:
Garfield Southall
Editor:
Maaruf Ali
Editor:
Andrew Ware
Editor:
Carlene Campbell
Editor:
Terry Walcott
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