Core Viewpoint - Data elements are a new type of production factor in the digital economy era, serving as a core engine for the development of new productive forces and an important strategic resource for the country [1][2] Group 1: Macro Perspective - The transition from factor-driven to innovation-driven growth in various sectors of the economy relies on data elements, which can exist independently as production materials and also act as a "connector" to optimize resource allocation efficiency [1] - High-quality data flows can eliminate information silos across the industrial chain, enhancing deep collaboration within the industry [1] Group 2: Meso Perspective - The cultivation of emerging industries heavily depends on data to explore market demands, optimize business processes, and provide personalized services, particularly in strategic emerging industries like artificial intelligence [1][2] - Data sovereignty is becoming a new battleground for industrial discourse power, as the development and utilization of data resources are crucial for future industries [1][2] Group 3: Micro Perspective - The non-competitive nature and positive externalities of data elements break the traditional marginal returns of factors, alleviating efficiency losses and market failures caused by information asymmetry [2] - There is a lack of high-quality data resources, with issues in data collection integrity and accuracy due to the absence of intelligent data collection modules and unified standards [2] Group 4: Policy and Infrastructure - The "East Data West Computing" project has been implemented for three years, establishing national computing power hub nodes and data center clusters to rationally allocate data resources [3] - To further unleash the potential of data elements, it is essential to advance the "East Data West Computing" project, optimize mechanisms, and promote the integration of existing data centers [3] - Accelerating the digital transformation of traditional industries and enhancing data collection capabilities are critical for establishing a foundation for high-quality data collection [3]