Zheng Quan Shi Bao Wang·2025-12-09 09:39Core Viewpoint - The article discusses the transition of data factor marketization from policy framework to practical implementation, highlighting the role of state-owned enterprises (SOEs) as pioneers in this process [1][2]. Group 1: Role of State-Owned Enterprises - SOEs are positioned as key players in the data factor market due to their dominance in critical sectors like energy, electricity, and telecommunications, where they hold significant data resources [2]. - The selection of SOEs as pilot entities aims to leverage their influence to encourage other market participants, including private enterprises, to engage in the orderly release of data resources [2]. Group 2: Balancing Data Security and Value Release - A critical aspect of the pilot program is balancing data security with value release, which is essential for encouraging participation from small and medium-sized enterprises (SMEs) [3]. - The approach involves assessing security needs based on specific application scenarios to ensure that safety measures are appropriately matched to data risk levels [3]. Group 3: Establishing Trustworthy Data Spaces - The concept of a "trustworthy data space" is emphasized as a foundational infrastructure for data circulation, combining technical support with a comprehensive regulatory framework [4][5]. - Two types of trustworthy data spaces are identified: enterprise-level and industry-level, with the former being more practical for current pilot initiatives [5][6]. Group 4: Data Productization and Assetization - The article stresses that data assetization should focus on data products, which are defined by their ability to generate cash flow and provide measurable benefits [8][9]. - The process of data assetization should follow a sequence of productization before moving to assetization, ensuring that data products are linked to stable revenue streams [9]. Group 5: Goals and Feasibility of the Pilot Program - The pilot program aims to engage over 100,000 SMEs by 2027, leveraging the established ecosystems of the participating SOEs to provide data services that meet the needs of various industries [10]. - The initiative is expected to extend its impact beyond directly associated enterprises, encouraging participation from local state-owned enterprises and private companies [10]. Group 6: Long-term Development of the Data Factor Market - For the long-term success of the data factor market, three areas need improvement: institutional development, spatial expansion, and stakeholder collaboration [11]. - SOEs are tasked with leading by example, while local governments and data exchanges play supportive roles in facilitating data product transactions and ensuring policy alignment [11]. Group 7: Integration with Artificial Intelligence - The pilot program also aims to support the development of high-quality industry data sets necessary for training AI models, thereby enhancing the capabilities of technology companies and benefiting SMEs [12].