[目的/意义]在多元主体视角下探寻适应数据要素特征的质量提升策略，确保高质量数据要素的流通和应用，促进数据要素市场高质量发展。[方法/过程]首先以市场健康自治为切入点，基于多元主体视角，研究数据交易过程中数据交易平台、数据供给方、数据需求方在成本与收益变化下的策略选择；然后构建演化博弈模型，分析三方主体之间的相互作用及其影响因素；最后利用MATLAB软件进行仿真模拟，检验不同条件下各主体策略演化的动态过程。[结果/结论]数据交易平台的积极监管受到显隐性效益和监管成本的双重影响，供给方的高质量数据供给决策取决于成本差异及平台的激励与处罚机制，反馈成本和激励强度则是影响需求方反馈行为的重要因素。平台的有效监管、合理的激励与处罚机制以及需求方的反馈共同作用，能够形成推动高质量数据要素流通的良性循环。

[Purpose/significance] Exploring quality improvement strategies adapted to the characteristics of data fac⁃tors from the perspective of multiple stakeholders, ensuring the circulation and application of high-quality data factors,thereby promoting the high-quality development of the data factor market. [Method/process] From the perspective of market self-governance, this study investigates the strategic choices of the data trading platforms, data suppliers, and data demanders under changing costs and benefits. By constructing an evolutionary game model, the study analyzes the interactions among the three stakeholders and their influencing factors. Finally, MATLAB software is used to simulate the dynamic process of strategy evolution under different conditions. [Result/conclusion] The active regulation of data trading platforms is influenced by both explicit and implicit benefits and regulatory costs. The decision-making of data suppliers regarding the provision of high-quality data depends on cost differentials as well as the platform's incentive and penalty mechanisms. The feedback costs and incentive intensity are key factors affecting the feedback behavior of data demanders. Effective platform regulation, a reasonable incentive and penalty mechanism, and the feedback from data demanders together contribute to a virtuous cycle that promotes the circulation of high-quality data elements.