专访原海南省大数据管理局局长董学耕：2026年数据要素价值规模化释放可期，全国一体化数据市场或成破局关键

Core Insights - The article emphasizes that 2026 is designated as the "Year of Data Element Value Release," marking a significant transition in China's data element market reform from foundational institutional development to a phase focused on value creation and validation [1][3] Group 1: Data Element Value Release - The release of data element value has been a consistent theme since the concept was introduced, with the current moment representing a critical transition from quantitative to qualitative change [3] - The national data work conference has set the stage for the large-scale release of data element value, indicating that prior efforts have reached a level conducive to significant transformation [3][4] - Key policies and initiatives, such as the development of public data resources and the establishment of data trading platforms, have laid the groundwork for this transformation [3][4] Group 2: National Integrated Data Market - The establishment of a national integrated data market is seen as essential for overcoming challenges related to the release of data element value, facilitating seamless data flow across regions and industries [6][7] - Key infrastructure for this market includes a nationwide interconnected data platform, a unified standard system, and operational norms to encourage the development of data products [7][8] - The integrated market aims to enhance the efficiency of data resource allocation, enabling data merchants to create more valuable data products and services [7][8] Group 3: Key Indicators for Success - The success of the "Year of Data Element Value Release" and the national integrated data market will be measured against eight key tasks outlined by the national data work conference [4] - There is a need for standardized definitions and metrics to assess the market value generated by data products, focusing on cash flow and other financial indicators [4] Group 4: Transition from Data Resources to Standardized Products - Public data holders, primarily government entities, are encouraged to share and open data responsibly, with performance-driven incentives to enhance data accessibility [10] - Large enterprises are urged to adopt market-driven approaches to release data, including monetizing data products and ensuring data privacy through innovative usage methods [10][11] - The first data products expected to mature and scale include analytical data products and those driven by market demand, particularly in finance and healthcare [11] Group 5: AI and Data Value Standards - The integration of data with AI is crucial for enhancing the performance of AI models, with high-quality datasets becoming essential for effective applications [12][13] - The development of AI will reshape data value standards, emphasizing application-driven assessments rather than traditional metrics [12][13] - The transition from project-based development to subscription-based data services is anticipated, driven by the need for continuous data application and service delivery [14][15]