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.
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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: Lee, R. (eds) Big Data, Cloud Computing, and Data Science Engineering. BCD 2022. Studies in Computational Intelligence, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-031-19608-9_11
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DOI: https://doi.org/10.1007/978-3-031-19608-9_11
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