Research on Data Trading Risks and Compliance Governance in the Context of Digital Economy
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 ex-plore 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 trad-ability 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 optimi-zing the internal data compliance mechanism of enterprises,strengthening external supervision and inter-in-dustry 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 digit-al economy,and provide theoretical and practical support for the standardization and risk prevention and con-trol of the data trading market.
data trading riskcross-border data flowdata trading costcompliance governance