人民财讯10月25日电，10月24日，国家数据局党组书记、局长刘烈宏一行到北京产权交易所开展实地调 研，与机构负责人座谈交流。 刘烈宏听取机构负责人关于产权交易机构和产权市场发展有关情况的介绍后表示，当前，数据市场发展 还处于起步阶段，要坚持有效市场和有为政府相结合，深入研究产权交易机构和产权市场发展经验，加 强规律提炼和总结借鉴，处理好促进发展和加强监管的关系，完善数据流通交易制度，增强数据流通交 易服务机构能力，鼓励引导多元数据流通交易形态创新探索，加快培育全国一体化数据市场。 ...

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].