Group 1 - The core viewpoint emphasizes the importance of data exchanges aligning their development with the deep integration of real industries, data industries, and data markets [2]

Core Viewpoint - The development of the data market is still in its early stages, necessitating a combination of effective market mechanisms and proactive government involvement to foster growth and regulation [1] Group 1: Market Development - The current state of the data market is described as being in its initial phase, indicating significant room for growth and innovation [1] - There is a need to enhance the capabilities of data circulation and transaction service institutions to support market development [1] Group 2: Regulatory Framework - Emphasis is placed on the importance of balancing development promotion with regulatory oversight to ensure a healthy market environment [1] - The call for improving the data circulation transaction system highlights the necessity for a structured approach to data market operations [1] Group 3: Innovation Encouragement - The government encourages and guides the exploration of diverse data circulation and transaction forms, aiming to stimulate innovation within the market [1] - There is a focus on accelerating the cultivation of a unified national data market, which suggests a strategic direction for future market integration [1]

Core Viewpoint - The meeting highlighted the significant role of data trading institutions in the construction of the data market, emphasizing their contributions to standard setting, infrastructure development, ecosystem cultivation, scenario incubation, and value discovery [1] Group 1: Role of Data Trading Institutions - Data trading institutions are seen as both witnesses and participants in the development of the data market [1] - They play a crucial role in various aspects such as standard formulation, infrastructure development, and ecosystem nurturing [1] Group 2: Focus Areas for Development - The meeting called for a focus on the pain points and challenges in the development of the data market [1] - There is a need for in-depth research on fundamental issues to foster innovation and development in addressing the challenges of a unified national data market [1] Group 3: Value Creation - The aim is to create more value in areas such as circulation transaction services and market ecosystem construction [1]

Core Viewpoint - The article emphasizes the importance of data as a critical production factor in the digital economy, predicting that a 10% increase in data flow can lead to a 0.2% GDP growth, with an average profit growth rate of around 10% across industries due to data flow [1]. Group 1: Data Market Definition and Characteristics - The data market is defined as a new type of market where data products or services are the trading objects, involving data supply and demand parties to convert data elements into products through circulation [1][2]. - The trading objects in the data market include raw data, processed data, and standardized data service products, with diverse supply sources including businesses, government agencies, and data brokers [2]. - The data market differs from traditional markets mainly in pricing and trading mechanisms, with various pricing models such as pay-per-use, subscription, and revenue sharing to meet different application needs [3]. Group 2: Institutional Framework and Standards - Establishing a data market requires a robust institutional framework, including standardized data rules and regulations to address the challenges of data classification and integration [4]. - The first step in building a unified data market is to create a national standard for data classification, format, permissions, and security levels, aligning with international standards to enhance global compatibility [4]. Group 3: Cultivating Data Business Entities - Data business entities, referred to as "data merchants," are crucial for the development of the data market, providing services in data generation, management, circulation, and trading [5]. - Encouraging the opening of high-value public data and promoting the assetization of data resources among enterprises, especially in manufacturing and services, is essential for realizing data value [5]. Group 4: Infrastructure and International Cooperation - The construction of data infrastructure is vital for facilitating data transactions, requiring networks, computing power, and security facilities to enable safe and orderly data flow [6]. - International cooperation is necessary to enhance China's digital competitiveness, involving the integration of cross-border data flow into economic development plans and engaging in global data rule-making [7].