数据交易信任机制的法律困境与制度重塑  

The Legal Dilemma and Institutional Reshaping of Trust Mechanisms in Data Transactions

作　　者：饶传平 Rao Chuanping

机构地区：[1]江西财经大学法学院,江西南昌330031

出　　处：《中州学刊》2025年第2期73-80,共8页Academic Journal of Zhongzhou

基　　金：国家社会科学基金项目“算法营销侵蚀消费者自主选择权的法律规制研究”(24BFX052)。

摘　　要：在商事交易中,信任主要源于对风险收益的计算,普遍交易信任的建立以制度有效保障为基础。当前的数据交易领域存在着财产权制度缺失、侵权责任边界模糊、行政监管不力等问题,难以在交易主体间培育信任,从而引发了数据交易的信任危机,导致数据流通受阻。为重塑数据交易的可信制度环境,应构建数据持有登记与认证制度,以稳固现有交易秩序;强化数据交易所的自律监管职能,以补足政府监管不足;完善数据安全责任保险制度,以分散高风险责任。通过法律与市场机制的协同发力,为数据要素市场奠定信任基石,促进数字经济健康发展。In commercial transactions,trust mainly stems from the calculation of risk and return,and the establishment of general transaction trust is based on effective institutional safeguards.In the current field of data trading,there are problems such as the lack of property rights system,unclear boundaries of infringement liability,and ineffective administrative supervision,which make it difficult to cultivate trust among trading subjects,leading to a trust crisis in data trading and hindering data circulation.To reshape a trustworthy institutional environment for data transactions,it is necessary to establish a data holding registration and authentication system to stabilize the existing transaction order;strengthen the self-regulatory function of data exchanges to compensate for the lack of government supervision;and improve the data security liability insurance system to diversify high-risk responsibilities.By synergizing legal and market mechanisms,it is aimed to lay the foundation of trust for the data element market and promote the healthy development of the digital economy.

关 键 词：数据要素市场 可信交易生态 数据交易制度 

分 类 号：D920.0[政治法律—法学]