数字经济背景下的数据交易风险与合规治理研究

Research on Data Trading Risks and Compliance Governance in the Context of Digital Economy

为分析数字经济背景下数据交易的风险并提出相应的合规治理策略,采用多维度分析方法深入探讨数据交易过程中的关键风险点。首先,构建一个基础理论框架,其中包括数据保护规则、交易所合规要求、数据来源的合规性、数据的可交易性标准以及数据的流通性准则。其次,详细研究合规成本与技术成本、市场成本的关系,并揭示其对数据交易效率的深远影响。再次,从数据流动性的视角出发,深入剖析数据来源验证、数据可交易性判定和数据流通障碍等核心议题。最后,还对场外交易风险和跨境数据流动中的主权与制度冲突进行深入分析,并据此提出一系列切实可行的合规治理策略,如优化企业内部数据合规机制、加强外部监管与行业间的协作以及对场外交易风险实施更为明确的规制等。这些策略能够共同构建一个全面、多维度的数据交易风险治理体系,从而有效降低数据交易风险,推动数字经济的持续健康发展,为数据交易市场的规范化与风险防控提供理论与实践支撑。

In order to analyze the risks of data transactions in the context of the digital economy and propose corresponding compliance governance strategies,the multi-dimensional analysis method is used to deeply explore the key risk points in the data trading process.Firstly,a basic theoretical framework is constructed,which includes data protection rules,exchange compliance requirements,data source compliance,data tradable standards,and data liquidity criteria.Secondly,the relationship between compliance costs,technical costs and market costs is studied in detail,and its far-reaching impact on the efficiency of data transactions is revealed.Once again,from the perspective of data mobility,the core issues such as data source verification,data tradability determination,and data circulation barriers are deeply analyzed.Finally,an in-depth analysis of over-the-counter trading risks and sovereignty and institutional conflicts in cross-border data flows is conducted.Based on this,a series of practical and feasible compliance governance strategies are proposed,such as optimizing the internal data compliance mechanism of enterprises,strengthening external supervision and inter-industry collaboration,and implementing more explicit regulations on over-the-counter trading risks.These strategies can jointly build a comprehensive and multi-dimensional data trading risk governance system,so as to effectively reduce the data trading risks,and promote the sustainable and healthy development of the digital economy,and provide theoretical and practical support for the standardization and risk prevention and control of the data trading market.