Core Insights - The current challenges in the market-oriented allocation of data elements include ambiguous data ownership and incomplete trading rules, which hinder the activation of data value and the promotion of high-quality economic and social development [1] Group 1: Data Element Market - The circulation and trading of data elements require efforts from both the supply and demand sides to ensure effective market operation and prosperity of the data economy [3] - Data is recognized as the fifth production factor, rapidly integrating into various aspects of production and life, thus driving high-quality economic and social development [3] Group 2: Digital Government - The core logic of building a digital government is to enhance the government's intelligent capabilities through the application of digital and intelligent technologies, with existing practices like the "One Network for All Services" model [3] - Issues such as "data silos" exist within digital government practices, making data integration and utilization challenging [3][4] Group 3: Technology-Driven Governance - To enhance government governance capabilities using big data technology, it is suggested to promote institutional construction driven by technology across three dimensions [4] - Breaking down inter-departmental data barriers is crucial, and scenario-driven approaches can stimulate data sharing and collaboration among government departments [5] Group 4: International Perspectives - Countries like Singapore and the UK are actively exploring data-driven social service and governance models, while China is embracing intelligent governance and leading globally in releasing data value [5]