摘要
[目的/意义]数字政府建设推动着公共数据整合归集、开放共享与价值挖掘,而公共数据的不断融合又催生出个人信息安全问题。探明个人信息风险演化、建立适应公共数据融合下的个人信息保护机制,已成为数字治理研究中的迫切且重要的课题。[方法/过程]本文基于公共数据分级分类标准和数据生命周期理论,构建了“数据风险—数据责任”的整合分析框架,并结合杭州城市大脑实践案例剖析公共数据治理形态,探讨面向公共数据融合的个人信息风险演化的影响因素及公共部门的职责边界与保护路径。[结果/结论]分析结果呈现了4种保护机制,数据共享、数据挖掘和数据标注是引致公共数据融合过程中个人信息风险跃迁的主要因素,而通过部门溯源、审慎授权、事前告知与伦理审查等方式,有助于降低个人信息安全风险演化,推动数字政府背景下公共数据融合进程。
[Purpose/Significance]The applications of digital government promote the linking, opening and value mining of public data, yet the continuous integration of public data often leads to personal information security issues.How to establish a personal information protection mechanism that adapts to the fusion of public data has become an unavoidable and important issue in digital governance research.[Method/Process]Based on the classification and life cycle theory of public data, this paper constructed an integrated analysis framework, namely“Data Risk Surface-Data Responsibility Line”,and discussed the risk evolution of personal information in public data by analyzing multiple scenarios of Hangzhou City Brain.[Result/Conclusion]The case analysis shows that data sharing, data mining and data labeling are the main reasons that lead to the risk transition of private information in the public data, and behavior regulations for the government sectors would be further proposed such as department traceability, such as department traceability, prudent authorization, prior notification and ethical review, which are feasible paths for personal information protection in the context of digital government.
作者
余立
张橦
黄萃
Yu Li;Zhang Tong;Huang Cui(College of Public Administration,Zhejiang University,Hangzhou 310085,China;Faculty of Humanities and Social Sciences,Dalian University of Technology,Dalian 116024,China)
出处
《现代情报》
CSSCI
2023年第2期158-167,共10页
Journal of Modern Information
基金
教育部人文社会科学研究青年基金项目“基于图像识别的居民行为测度与精准治堵机制研究”(项目编号:21YJCZH207)
国家自然科学基金重点项目“基于社会实验的人工智能社会综合影响与作用机制研究”(项目编号:72134007)
国家自然科学基金优秀青年项目“公共管理与公共政策”(项目编号:71722002)
中国博士后基金项目(项目编号:2021M692769)。
关键词
数字政府
公共数据
风险演化
个人信息安全
digital government
public data
risk transition
personal information protection
