Strengthen Fundamental Role of Data Element Governance in National Governance Modernization

Authors

Kaihua CHEN, School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Zhuo FENG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Rui GUO, School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, ChinFollow
Yue HAO, Xidian University, Xi'an 710126, China
Jin KANG, China Academy of Industrial Internet, Beijing 100102, China
Xiaoguang YANG, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Chao ZHANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Binbin ZHAO, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China

Keywords

national governance modernization; data element governance; governance system; governance idea

Document Type

Consultation of Academic Divisions and Suggestion of Academicians: Digital Technology Enabling National Governance Modernization

Abstract

Data element governance is a key factor to promote the modernization of national governance in the digital era. By strengthening the deep integration of data factors and national governance, a new model of data-driven national governance can be formed, and the national governance can be made more scientific, refined, intelligent, and efficient. The US and European countries have continuously strengthened the top-level system design, technological innovation application, collaborative governance mechanism, and global governance cooperation of data element governance, which has effectively improved the level of data element governance and provided experience for China. Nevertheless, due to the virtuality of data elements, more subjects involved, greater risk of leakage, and higher requirements of technical support level, the current data element governance is still faced with challenges such as imperfect collaborative governance mechanism, incomplete ethical governance mechanism, weak talent and technology foundation, etc. It is thus challenging to give full play to the role of data factors to meet the needs of the modernization of national governance. In the new era, it is urgent to establish and improve a data element governance system suitable for current major needs and application scenarios of national governance, by establishing a governance concept that takes into account the development of efficiency, fairness, and security in all directions, building a governance model featuring the collaboration and co-governance of multiple subjects of the government, the market, and society, strengthening a governance idea driven by the synergy of science, technology, and institutions, and improving the basic guarantee of talents, infrastructure, and public services, to promote the governance level of data factors and provide strong support for the modernization of national governance system and capacity.

First page

1716

Last Page

1726

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 王芳, 郭雷. 数字化社会的系统复杂性研究. 管理世界, 2022, 38(9):208-221. Wang F, Guo L. Research on system complexity of the digital society. Journal of Management World, 2022, 38(9):208-221. (in Chinese)

2 杨晓光, 徐宗本, 郭雷. 计算治理:一个值得重视的新兴交叉领域. 中国科学基金, 2022, 36(1):94-99. Yang X G, Xu Z B, Guo L. Computational governance:An emerging interdisciplinary field. Bulletin of National Natural Science Foundation of China, 2022, 36(1):94-99. (in Chinese)

3 UNCTAD. Digital Economy Report 2021. New York:United Nations Publications, 2022.

4 梅宏. 数据治理之论. 北京:中国人民大学出版社, 2020. Mei H. On Data Governance. Beijing:China Renmin University Press, 2020. (in Chinese)

5 陈凯华, 康瑾. 加快构建数据要素国家治理体系. (2022-07-06)[2022-12-03]. https://theory.gmw.cn/2022-07/06/content_35863473.htm. Chen K H, Kang J. Accelerating the construction of national governance system of data factors. (2022-07-06)[2022-12-03]. https://theory.gmw.cn/2022-07/06/content_35863473.htm. (in Chinese)

6 张建锋. 数字治理:数字时代的治理现代化. 北京:电子工业出版社, 2021. Zhang J F. Digital Governance:Governance Modernization in the Digital Age. Beijing:Publishing House of Electronics Industry, 2021. (in Chinese)

7 梅宏. 大数据与数字经济. 求是, 2022, (2):28-34. Mei H. Big data and digital economy. Qiushi, 2022, (2):28-34. (in Chinese)

8 乔天宇, 李由君, 赵越, 等. 数字治理格局研判的理论与方法探索. 中国科学院院刊, 2022, 37(10):1365-1375. Qiao T Y, Li Y J, Zhao Y, et al. Exploration of theory and method of studying digital governance pattern. Bulletin of Chinese Academy of Sciences, 2022, 37(10):1365-1375. (in Chinese)

9 胡鞍钢, 唐啸, 杨竺松, 等. 中国国家治理现代化. 北京:中国人民大学出版社, 2014. Hu A G, Tang X, Yang L S, et al. Modernization of State Governance in China. Beijing:China Renmin University Press, 2014. (in Chinese)

10 吕欣, 李洪侠, 李鹏. 大数据与国家治理. 北京:电子工业出版社, 2017. Lyu X, Li H X, Li P. Big Data and National Governance. Beijing:Publishing House of Electronics Industry, 2017. (in Chinese)

11 陈凯华, 冯泽, 孙茜. 创新大数据、创新治理效能和数字化转型. 研究与发展管理, 2020, 32(6):1-12. Chen K H, Feng Z, Sun T Q. Big data of innovation, innovation governance efficacy and digital transformation. R&D Management, 2020, 32(6):1-12. (in Chinese)

12 Abowd J M, Schmutte I M. An economic analysis of privacy protection and statistical accuracy as social choices. American Economic Review, 2019, 109(1):171-202.

13 洪永淼, 张明, 刘颖. 推动跨境数据安全有序流动引领数字经济全球化发展. 中国科学院院刊, 2022, 37(10):1418-1425. Hong Y M, Zhang M, Liu Y. Promoting safe and orderly flow of cross-border data to lead development of globalization of digital economy. Bulletin of Chinese Academy of Sciences, 2022, 37(10):1418-1425. (in Chinese)

Recommended Citation

CHEN, Kaihua; FENG, Zhuo; GUO, Rui; HAO, Yue; KANG, Jin; YANG, Xiaoguang; ZHANG, Chao; and ZHAO, Binbin (2022) "Strengthen Fundamental Role of Data Element Governance in National Governance Modernization," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 37 : Iss. 12 , Article 6.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20221117004
Available at: https://bulletinofcas.researchcommons.org/journal/vol37/iss12/6