政府大数据开放共享中个人信息隐性风险及其显性化策略

Research on the Implicit Risks of Personal Information in Government Big Data Open Sharing and Its Explicitization Strategies

加强数字政府建设,既需要政府大数据更加有序的开放共享,也需要对个人信息更加有效的安全保护。研究政府大数据环境中个人信息风险的隐性特征及其显性化策略,有助于相关权益主体对个人信息的使用和保护。运用数据生命周期理论分析政府大数据环境中个人信息生命周期及其主要风险,从“可感知”的角度分析其中的隐性风险及其在技术维度、法律维度、主体维度和价值维度的成因。国内政府大数据中心的建设从完善主体角色的角度为个人信息隐性风险的显性化提供了必要的环境支撑,通过探索构建过程风险显性化、使用风险显性化、主体风险显性化和价值风险显性化等策略和路径,能够从强化主体监管的角度更好地实现政府大数据环境中个人信息使用和保护的平衡。

The rapid development of digital government initiatives necessitates secure open sharing of government big data while ensuring robust protection of personal information.To explore the implicit risks and explicitization strategies associated with personal information in the context of government big data will enhance collaborative supervision.Employing the data lifecycle theory,this study analyzes the stages of personal information management to identify inherent risks.It delves into the underlying technical,legal,subject-related,and value-related causes of these risks,emphasizing perceptible factors.The establishment of government big data centers provides a framework to articulate the implicit risks associated with personal information.The study focuses on developing strategies to mitigate process, usage, subject, and value-related risks, aiming to achieve a balanced approach to utilizing and safeguardingpersonal information within the government big data ecosystem, thereby strengthening regulatory oversight.