图书情报工作 ›› 2023, Vol. 67 ›› Issue (8): 40-49.DOI: 10.13266/j.issn.0252-3116.2023.08.004

• 专题:开放政府数据使用、制度评价与隐私风险控制研究 • 上一篇    下一篇

开放政府数据的隐私风险关键影响因素识别

陈美, 何祺   

  1. 中南财经政法大学公共管理学院 武汉 430073
  • 收稿日期:2022-09-28 修回日期:2022-12-27 出版日期:2023-04-20 发布日期:2023-04-25
  • 作者简介:陈美,副教授,博士,硕士生导师,E-mail:chenmei672236@163.com;何祺,硕士研究生
  • 基金资助:
    本文系国家自然科学基金“面向用户的开放政府数据使用行为机理及隐私风险控制研究”(项目编号:72004056)和国家社会科学重大项目“面向数字化发展的公共数据开放利用体系与能力建设研究”(项目编号:21&ZD337)研究成果之一。

Identification of Key Influencing Factors of Privacy Risk of Open Government Data

Chen Mei, He Qi   

  1. School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073
  • Received:2022-09-28 Revised:2022-12-27 Online:2023-04-20 Published:2023-04-25

摘要: [目的/意义] 隐私信息泄露引发的社会问题屡见不鲜,严重侵犯了公众权益。识别和分析隐私风险控制的关键影响因素,对加速推动政府开放数据平台的建设具有重要的实践意义。[方法/过程] 基于相关文献,构建开放政府数据的隐私风险指标体系。再通过对专家进行问卷调查,运用Dematel方法对开放政府数据的隐私风险控制影响因素以及关键程度进行分析,从中心度与原因度两个维度揭示隐私风险的关键指标。[结果/结论] 开放政府数据的隐私风险控制关键影响因素包括:政府开放数据平台设计、系统应用安全、隐私数据安全保护技术、基础设施、个人隐私保护法律法规、网络攻击、管理者决策。最后,根据分析结论,为政府开放数据平台构建安全的隐私保护方案提供可行的建议。本研究力图丰富开放政府数据的隐私风险控制的研究成果,为保护公众隐私信息安全提供参考。

关键词: 开放政府数据, 隐私风险控制, 隐私安全, Dematel

Abstract: [Purpose/Significance] Social problems caused by privacy information leakage are common, seriously infringing on public rights and interests. Identifying and analyzing the key influencing factors of privacy risk control is of great practical significance for accelerating the construction of government open data platform. [Method/Process] Based on the relevant literature, the index system of privacy risk of open government data was constructed. Then, through the questionnaire survey of experts, the influencing factors and key degree of privacy risk control of open government data were analyzed using the Dematel method, and the key indicators of privacy risk were revealed by two dimensions of centrality and cause degree. [Result/Conclusion] The key influencing factors of privacy risk control of open government data including government open data platform design, system application security, privacy data security protection technology, infrastructure, personal privacy protection laws and regulations, cyber attacks, managerial decisions. Finally, according to the analysis conclusion, it provides feasible suggestions for the government to build a secure privacy protection scheme for open data platform. This study enriches the research results of privacy risk control of open government data, and provides practical reference for protecting public privacy information security.

Key words: open government data, privacy risk control, privacy security, Dematel

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