闽江学院学报

数据要素的经济价值与社会效益不容小觑，其有序、高效的流通是数字经济发展的应有之义。然而，数据权属与数据确权模糊、数据收益分配存疑、数据流通规则失范等问题诱发了诸如算法价格歧视、数据爬取、算法共谋等数据市场的失序行为，严重阻挠了数据要素的流通与利用。基于赋权合理性、分权规范性、行权价值性的三维考量，“三权分置”具有应用于数据要素流通治理的可行性与必要性。因此，应以“三权分置”为前提，厘清数据要素流通治理应明确场景化的设定逻辑，对其进行分类治理，并基于场景化思维进一步细化数据产权“三权分置”的权利内涵，进而推动数据流通治理规则的优化。

The economic value and social benefits of data elements are significant, and their orderly and efficient circulation is essential for the development of the digital economy.However, unclear ownership of data, ambiguous data rights confirmation, doubts regarding the distribution of data profits, chaotic data pricing, and vague rules for data circulation have led to market disorders such as algorithmic price discrimination, data scraping, and algorithmic collusion, severely hindering the circulation and utilization of data elements.From the perspective of the rationality of rights allocation, the normativity of rights division, and the value of exercising rights, the "three-rights separation" approach presents both feasibility and necessity for governing the circulation of data elements.Given that the challenges in data circulation are context-specific, a scenario-based approach is required for classified governance.Using the "three-rights separation" framework as a foundation, it is necessary to set up scenario-based governance depending on the changes in data types after circulation,and further refine the connotations of the rights under the " three-rights separation" to optimize the governance rules for data circulation.