|Table of Contents|

Discussion on the theoretical explanation and development path ofaccelerating the development and utilization ofpublic data resources(PDF)

《长安大学学报（社科版）》[ISSN:1671-6248/CN:61-1391/C]

Issue:
2025年01期
Page:
1-37
Research Field:
马克思主义理论研究
Publishing date:
2025-02-25

Info

Title:
Discussion on the theoretical explanation and development path ofaccelerating the development and utilization ofpublic data resources
Author(s):
FAN Lili1;  ZHANG Xiang2;  YE Zhipeng3;  WU Xiaolong4;  SHEN Feiwei5;  DONG Peng6
1.School of Humanities,Chang’an University,Xi’an 710064,Shaanxi,China;2.School of Public Affairs,Xiamen University,Xiamen361005,Fujian,China;3.School of Public Administration,East China Normal University,Shanghai200062,China;4.School of Humanities and Social Sciences,Nanjing University of Aeronautics and Astronautics,Nanjing211106,Jiangsu,China;5.School of Public Administration,Hangzhou Normal University,Hangzhou311121,Zhejiang,China;……
Keywords:
public data;  public data development;  artificial intelligence;  digital government;  data factorization
PACS:
F124; D621
DOI:
-
Abstract:
Accelerating the development and utilization of public data resources has strategic, theoretical, ecological, and developmental significance. It involves deepening the reform of data factor allocation, strengthening resource management, and encouraging application innovation. This process reflects the interplay between administrative authority and departmental demands, administrative logic and market dynamics, as well as data security and technical support. It underscores the crucial role of methodological awareness in public data resource governance. Artificial intelligence technology can effectively enhance public data governance, but this requires technical, organizational, and structural support. To accelerate the development and utilization of public data resources, it is essential to balance market-driven approaches with government regulation, ensure both vertical and horizontal coordination, foster innovation while maintaining regulatory constraints, and prioritize development without compromising security, while optimizing development mechanisms, eliminating information barriers, and strengthening risk management. The development of public data resources can significantly enhance digital government performance by improving network interconnectivity, cloud-based data management, algorithmic governance, and terminal services. These improvements facilitate data “integration”, business “empowerment”, stakeholder “collaboration”, and organizational “restructuring” within digital government systems. Efforts should focus on enhancing foundational data infrastructure, ensuring efficient data resource supply, expanding application scenarios, promoting cross-sectoral data cooperation, and strengthening data security. Promoting the governance of data factors is essential for accelerating the development and utilization of public data resources. However, current challenges include an underdeveloped regulatory framework, insufficient technical support systems, and an immature market ecosystem. To overcome these obstacles, government regulation should be leveraged to drive technological innovation, facilitate development, and optimize market mechanisms.

References:

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Last Update: 2025-02-25