Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan

Jeong Eun Seo; Hun Yeong Kwon

doi:10.1007/978-3-031-19608-9_11

Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan

Jeong Eun Seo, Hun Yeong Kwon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Most government agencies today have a perception that data is essential. However, creating a culture that encourages public servants to perceive data as an asset and make data-driven decisions is challenging. Data governance helps reduce the cost of data management and create value from the data. However, data is often dispersed across many organizations with different data policies in place, stored, and utilized. It can lead to accountability issues and poor data quality, and economic decline based on data utilization. The government data governance framework is one of the solutions to this problem, but there is a lack of discussion of a national data governance framework. Therefore, this paper analyzes the NDS of the US, the UK, Australia, and Japan based on the DGF of the DGI to derive the essential considerations in formulating national data strategies. And then, we suggest the components of the Government Data Governance Framework. These components are essential elements to be discussed in the establishment of NDS. This paper's results can help establish a new NDS or modify the established NDS.

Original language	English
Title of host publication	Big Data, Cloud Computing, and Data Science Engineering
Editors	Roger Lee
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	133-144
Number of pages	12
ISBN (Print)	9783031196072
DOIs	https://doi.org/10.1007/978-3-031-19608-9_11
Publication status	Published - 2023
Event	7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022 - Danang, Viet Nam Duration: 2022 Aug 4 → 2022 Aug 6

Publication series

Name	Studies in Computational Intelligence
Volume	1075
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022
Country/Territory	Viet Nam
City	Danang
Period	22/8/4 → 22/8/6

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

DGI
Data governance
Data governance framework
Government data governance framework
National Data Strategy

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.1007/978-3-031-19608-9_11

Cite this

Seo, J. E., & Kwon, H. Y. (2023). Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan. In R. Lee (Ed.), Big Data, Cloud Computing, and Data Science Engineering (pp. 133-144). (Studies in Computational Intelligence; Vol. 1075). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-19608-9_11

Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan. / Seo, Jeong Eun; Kwon, Hun Yeong.
Big Data, Cloud Computing, and Data Science Engineering. ed. / Roger Lee. Springer Science and Business Media Deutschland GmbH, 2023. p. 133-144 (Studies in Computational Intelligence; Vol. 1075).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Seo, JE & Kwon, HY 2023, Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan. in R Lee (ed.), Big Data, Cloud Computing, and Data Science Engineering. Studies in Computational Intelligence, vol. 1075, Springer Science and Business Media Deutschland GmbH, pp. 133-144, 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, BCD 2022, Danang, Viet Nam, 22/8/4. https://doi.org/10.1007/978-3-031-19608-9_11

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N2 - Most government agencies today have a perception that data is essential. However, creating a culture that encourages public servants to perceive data as an asset and make data-driven decisions is challenging. Data governance helps reduce the cost of data management and create value from the data. However, data is often dispersed across many organizations with different data policies in place, stored, and utilized. It can lead to accountability issues and poor data quality, and economic decline based on data utilization. The government data governance framework is one of the solutions to this problem, but there is a lack of discussion of a national data governance framework. Therefore, this paper analyzes the NDS of the US, the UK, Australia, and Japan based on the DGF of the DGI to derive the essential considerations in formulating national data strategies. And then, we suggest the components of the Government Data Governance Framework. These components are essential elements to be discussed in the establishment of NDS. This paper's results can help establish a new NDS or modify the established NDS.

AB - Most government agencies today have a perception that data is essential. However, creating a culture that encourages public servants to perceive data as an asset and make data-driven decisions is challenging. Data governance helps reduce the cost of data management and create value from the data. However, data is often dispersed across many organizations with different data policies in place, stored, and utilized. It can lead to accountability issues and poor data quality, and economic decline based on data utilization. The government data governance framework is one of the solutions to this problem, but there is a lack of discussion of a national data governance framework. Therefore, this paper analyzes the NDS of the US, the UK, Australia, and Japan based on the DGF of the DGI to derive the essential considerations in formulating national data strategies. And then, we suggest the components of the Government Data Governance Framework. These components are essential elements to be discussed in the establishment of NDS. This paper's results can help establish a new NDS or modify the established NDS.

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Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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