共有数据作为多主体共同参与形成的数据形态，具有权利叠加与价值复合等特征，其隐私保护面临保护与利用失衡、权利配置冲突以及规范适用分散等多重困境。在界定共有数据内涵及其法律关系的基础上，引入类型化与场景化相结合的分析框架，从主体结构、数据形态与权利内容等维度区分隐私风险，结合数据生命周期中的具体场景，构建差异化的数据权利配置与隐私保护规则。提出共有数据隐私保护应通过多维度治理机制实现隐私保护与数据利用之间的动态平衡，以提升共有数据治理的针对性与制度适配性。

As a form of data generated through the participation of multiple stakeholders, shared data is characterized by the superimposition of rights and the compounding of value. Its privacy protection faces multiple dilemmas, including imbalances between protection and utilization, conflicts in the allocation of rights, and the fragmented application of legal norms. On the basis of defining the connotation and legal relationships of shared data, this study introduces an analytical framework that integrates typology and contextualization. It differentiates privacy risks across dimensions such as subject structure, data form, and rights content, and develops differentiated rules for data rights allocation and privacy protection in conjunction with specific scenarios throughout the data lifecycle. The study proposes that privacy protection for shared data should be achieved through a multi-dimensional governance mechanism to strike a dynamic balance between privacy protection and data utilization, thereby enhancing the specificity and institutional adaptability of shared data governance.

D922.16

教育部人文社会科学研究青年基金资助项目（20YJC820023）