The Practical Picture and Risk Regulation of Data Broker Enabling Data Factor Trading
Data factor trading is a market-oriented data circulation method,aiming at releasing the value of data factors and stimulating the innovation vitality of market players.Due to the theoretical difficulties such as unclear data ownership,unknown transaction targets,and missing pricing standards,as well as practical dilemmas such as small transaction volume,single business type,and mismatch between supply and demand,data factor trading is not as active as imagined.The causes of the lack of data factor trading are complex but common,among which trust deficit,technical barriers,regulatory failure and other factors are dominant.Based on the perspective of data value chain,the introduction of data brokerage system is needed to promote the reform of data factor market allocation.As an important participant in the digital economy,data brokers play an important role in aggregating data resources.promoting the circulation of data,and realizing the value of data is necessary,which is not only highly compatible with the national policy guidance,but also has a local practice basis.The establishment of the system is both necessary and feasible.However,risk and value coexist,data brokers in the selection criteria,industry transparency and supervision and evaluation of the level of uncertainty,hastily empowering the data elements of the transaction may lead to new security risks.In this regard,risk prevention should be targeted.Firstly,the types and levels of data brokers should be divided,and qualified subjects should be selected as data brokers according to their capabilities in ecological synergy,data operation,and technological innovation.Secondly,an annual registration system should be implemented to enhance the transparency of data processing through regular reporting and disclosure of information on the organizational structure,scope of business,management system,etc.Thirdly,a systematic supervision and assessment mechanism should be set up to test the work of data brokers in two aspects.They are external appraisal and internal evaluation.Last but not least,establish a systematic supervision and evaluation mechanism to test the effectiveness of data brokers from both external assessment and internal evaluation.
data brokersdata factor tradingdata factor marketizationdata value chaindata classification and grading
万方数据
维普
