政府开放数据的隐私风险识别框架:中国的混合方法研究

IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Government Information Quarterly Pub Date : 2024-03-01 DOI:10.1016/j.giq.2024.101916
Ying Li , Rui Yang , Yikun Lu
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引用次数: 0

摘要

开放式政府数据(OGD)在促进经济增长、激励创新和提高服务效率方面具有巨大潜力。然而,随着越来越多的私人信息被政府信息系统收集,私人数据变得越来越脆弱。因此,政府必须监控 OGD 的隐私风险。本研究的重点是识别开发开放源代码过程中的隐私风险因素。我们采用混合方法设计,以中国的证据为基础,建立了一个隐私风险识别框架。根据定性访谈的结果,隐私风险识别框架主要包括五个风险维度:数据风险、制度风险、技术风险、结构风险和行为风险。在这五个维度下,我们确定了 17 个风险因素。我们进一步开发了每个风险因素的测量项目,并通过定量方法验证了指标框架。我们的研究为识别 OGD 中的隐私风险提供了理论基础,有助于政府发现并相应处理这些风险。未来的研究可以继续探索生成式人工智能等融合技术应用于 OGD 时可能产生的隐私风险。
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A privacy risk identification framework of open government data: A mixed-method study in China

Open government data (OGD) has great potential to promote economic growth, stimulate innovation, and improve service efficiency. However, as more and more private information is collected by government information systems, private data become increasingly vulnerable. Thus, governments must monitor the privacy risks of OGD. The focus of this study is to identify privacy risk factors in the process of developing OGD. Using a mixed-method design, we developed a privacy risk identification framework based on evidence from China. According to the results of qualitative interviews, the privacy risk identification framework mainly includes five risk dimensions: data risk, institutional risk, technical risk, structural risk, and behavioral risk. We identified 17 risk factors under these five dimensions. We further developed the measurement items for each risk factor and verified the indicator framework through quantitative methods. Our research provides a theoretical basis for identifying the privacy risks in OGD, supporting governments in discovering and dealing with them accordingly. Future research can continuously explore potential privacy risks arising from merging technologies such as generative artificial intelligence when applied to OGD.

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来源期刊
Government Information Quarterly
Government Information Quarterly INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
15.70
自引率
16.70%
发文量
106
期刊介绍: Government Information Quarterly (GIQ) delves into the convergence of policy, information technology, government, and the public. It explores the impact of policies on government information flows, the role of technology in innovative government services, and the dynamic between citizens and governing bodies in the digital age. GIQ serves as a premier journal, disseminating high-quality research and insights that bridge the realms of policy, information technology, government, and public engagement.
期刊最新文献
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