加快推进数据要素市场化

Core Viewpoint - The recent release of the "Opinions on Cultivating Data Circulation Service Institutions and Accelerating the Marketization and Valuation of Data Elements" aims to enhance the value of data elements and promote a vibrant data market ecosystem through the establishment of three types of data circulation service institutions [2][4]. Group 1: Institutional Framework - The "Opinions" define three types of data circulation service institutions: data exchanges (centers), data circulation service platform enterprises, and data merchants, establishing a unified institutional framework [4]. - Each type of institution will have specific roles: data exchanges will enhance comprehensive service functions, platform enterprises will focus on specialized development, and data merchants will expand data product and service offerings [3][4]. Group 2: Market Activation - The document emphasizes the need for diverse data circulation transaction models and encourages institutions to explore innovative data exchange methods, such as data-for-data and data-for-services exchanges [5][6]. - It aims to support the development of high-quality data products and services, focusing on technology innovation, industrial development, and social governance [5][6]. Group 3: Collaboration and Support - The "Opinions" support collaboration between data circulation service institutions and industry leaders to address the "data scarcity" faced by many AI companies, promoting the creation of high-quality data sets [6]. - Institutions are encouraged to leverage data infrastructure for data aggregation, governance, and model training services [6]. Group 4: Future Goals - By the end of 2029, the goal is to significantly enhance the capabilities of data circulation service institutions, diversify transaction forms, and enrich data products and services, thereby improving the overall data circulation utilization level in society [7]. - The "Opinions" address the critical issue of circulation bottlenecks in the data element valuation process, marking a transition in China's data market development from framework establishment to functional enhancement [7][8].