Design of government data architecture system for comprehensive digital transformation in megacities

doi:10.12267/j.issn.2096-5931.2025.09.013

Abstract

Abstract:

In the process of digital transformation across urban areas, data, as a core foundational resource and innovation driver, is becoming increasingly important. To build a systematic government data architecture system, improve the data element empowerment system, and promote the development and utilization of data resources, providing solid support for the digital transformation of urban areas, this paper analyzes the connotations and extensions of the government data element empowerment system and proposes a government data architecture system oriented towards the digital transformation of megacities. The design unfolds from four dimensions: organizational support, mechanism support, data architecture, and security assurance, forming a comprehensive government data architecture system that covers the entire process of government data element empowerment. The aim is to provide valuable references for the design of government data architecture systems and to advance the digital transformation of urban areas.

Key words: citywide digital transformation, government data architecture, government big data, chief data officer, policy systems and standards, integrated government big data platform

CLC Number:

F49
F424

KANG Yanlong, LYU Jianzhou, YIN Xu, ZHANG Linjun. Design of government data architecture system for comprehensive digital transformation in megacities[J]. Information and Communications Technology and Policy, 2025, 51(9): 77-84.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2025.09.013

http://ictp.caict.ac.cn/EN/Y2025/V51/I9/77

Figures/Tables 4

References 10

[1]	邹倩瑜, 郑宏松, 胡意. 基于中台架构的科技政务数据治理模式研究: 以广东为例[J]. 科技管理研究, 2021, 41(24):169-176.
[2]	张志宇. 基于云计算平台的政务大数据信息资源共享模型构建研究[J]. 广东通信技术, 2024, 44(4):41-44.
[3]	王跃, 莫莉娟, 苏娜. 需求挑战驱动的我国政务数据安全治理体系建设策略研究[J]. 信息安全与通信保密, 2024(7):55-62.
[4]	杨帆, 梁吉光, 黎成权, 等. 基于人工智能技术的政务数据运营创新模式探索[J]. 中国高新科技, 2024(2):41-44.
[5]	钟晓雯. 公共数据授权运营的授权制度研究[J]. 电子政务, 2025(2):85-96.
[6]	储昭武, 李雪凝. 公共数据资源目录体系研究及应用[J]. 信息技术与标准化, 2019(5):10-14.
[7]	张会平, 李晓利. “数据要素×”视域下公共数据授权运营生态系统的培育路径[J]. 长安大学学报(社会科学版), 2024, 26(3):60-75.
[8]	周烨. 培育五大可信数据空间加速构建全国一体化数据市场: 解读《可信数据空间发展行动计划(2024—2028年)》[J]. 中国科技产业, 2025(1):8-9.
[9]	赵东明, 刘静, 徐晨兴, 等. “联邦学习+区块链”多方安全计算引擎系统研究[J]. 电子技术与软件工程, 2020(21):184-186.
[10]	李建华, 银鹰, 李思源, 等. 大数据安全与隐私计算技术综述[J]. 网络空间安全科学学报, 2024, 2(6):1-15. doi: 10.20172/j.issn.2097-3136.240601

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