Government data governance framework based on a data middle platform
Aslib Journal of Information Management
ISSN: 2050-3806
Article publication date: 26 November 2021
Issue publication date: 23 February 2022
Abstract
Purpose
The present paper constructed a new framework for government data governance based on the concept of a data middle platform to elicit the detailed requirements and functionalities of a government data governance framework.
Design/methodology/approach
Following a three-cycle activity, the design science research (DSR) paradigm was used to develop design propositions. The design propositions are obtained based on a systematic literature review of government data governance and data governance frameworks. Cases and experts further assessed the effectiveness of the implementation of the artifacts.
Findings
The study developed an effective framework for government data governance that supported the digital service needs of the government. The results demonstrated the advantages of the framework in adapting to organizational operations and data, realized the value of data assets, improved data auditing and oversight and facilitated communication. From the collection of data to the output of government services, the framework adapted to the new characteristics of digital government.
Originality/value
Knowledge of the “data middle platforms” generated in this study provides new knowledge to the design of government data governance frameworks and helps translate design propositions into concrete capabilities. By reviewing earlier literature, the article identified the core needs and challenges of government data governance to help practitioners approach government data governance in a structured manner.
Keywords
Acknowledgements
This work was supported by the National Social Science Fund of China (grant number: 20ZDA038), Huazhong University of Science and Technology Double First-Class Funds for Humanities and Social Sciences; the Fundamental Research Funds for the Central Universities, HUST (grant number 2020JYCXJJ037), and the Graduates’ Inovation Found, Huazhong University of Science and Technology (grant number 2021ygsCXCY).
Citation
Mao, Z., Wu, J., Qiao, Y. and Yao, H. (2022), "Government data governance framework based on a data middle platform", Aslib Journal of Information Management, Vol. 74 No. 2, pp. 289-310. https://doi.org/10.1108/AJIM-03-2021-0068
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited