Core Insights - The National Bureau of Statistics has initiated a pilot program for data resource development and utilization in state-owned enterprises, involving 12 central enterprises as leading units, in collaboration with private companies and research institutions [1][2] - The program aims to enhance the data governance capabilities of state-owned enterprises, significantly improve data resource development and sharing levels, and effectively boost industrial chain collaboration, benefiting over 100,000 small and medium-sized enterprises by 2027 [2] Group 1 - The pilot program focuses on four key areas: innovating data management mechanisms, nurturing the data industry, empowering industrial transformation, and optimizing the innovation environment, with 10 specific tasks outlined [2] - Key sectors targeted include energy and electricity, transportation and logistics, mineral resources, equipment manufacturing, satellite remote sensing, new materials, agriculture, construction materials, and green low-carbon initiatives [2] - The initiative encourages pilot enterprises to enhance data integration and application levels, promoting data sharing and the establishment of industry data standards [2][3] Group 2 - The pilot deployment emphasizes a "scenario-based" approach, urging enterprises to focus on industry development needs and create high-quality data sets and AI applications [3] - The goal is to develop new fields and scenarios that leverage data to empower the real economy, generating effective experiences and models [3]

Core Insights - The National Bureau of Statistics is promoting a "Data Efficiency Enhancement Action" for state-owned enterprises (SOEs) to improve data resource development and utilization [2][3] - The initiative includes 12 central enterprises as pilot leaders, collaborating with private companies and research institutions [2] - The focus areas include innovative data management, expanding the data industry, enabling industrial transformation, and optimizing the innovation environment [2][3] Group 1 - The pilot program aims to enhance data integration and application levels among SOEs, encouraging data sharing and the creation of a data open service list [3] - The initiative emphasizes "scenario-based" approaches, targeting industry needs and developing high-quality data sets and AI applications [3] - By 2027, the program is expected to improve data governance capabilities and enhance resource utilization, benefiting over 100,000 small and medium-sized enterprises [3][4] Group 2 - The collaboration with the State-owned Assets Supervision and Administration Commission will guide the orderly advancement of pilot projects [4]

Core Insights - Data has become a fundamental resource and innovation engine for high-quality development in the manufacturing industry, serving as a key production factor throughout the entire process from R&D design to customer service [3] - High-quality data sets are likened to refined "high-octane fuel," significantly influencing the effectiveness and sustainability of AI applications in manufacturing [3] - There is a strong emphasis on increasing investment in data resources, with manufacturing companies urged to prioritize data development and utilization alongside technology R&D and equipment updates [3] Investment and Development - Companies are encouraged to invest in the entire data lifecycle, including collection, storage, computation, management, and utilization, to accelerate the construction of high-quality data sets [3] - The need to cultivate a market awareness for paying for quality data is highlighted, promoting a consensus similar to that of purchasing advanced equipment and high-end technology [3] - The goal is to create a robust ecosystem where data is effectively utilized, flows freely, and adds value while ensuring security [3] Competitive Landscape - There is a call to prevent and eliminate "involutionary" competition, with a focus on innovation and data-driven development, particularly for leading companies with strong digital capabilities [3]

Group 1 - The core viewpoint is that China's data resources are experiencing rapid growth, with the data production volume expected to reach 41.06 zettabytes in 2024, which is more than double the amount at the end of the 13th Five-Year Plan [1] - China's data production accounts for 26.67% of the global total, with a per capita data production volume that is 2.2 times that of the end of the 13th Five-Year Plan [1] - The growth in data resources reflects the continuous increase in China's economic scale and the advancement of digital transformation, positioning the digital economy as a key driver of economic growth [1] Group 2 - The supply of data resources is becoming more open, with the establishment of a "1+3" policy system to enhance public data resource development and utilization [2] - Over 87 policies related to public data authorization and operation have been formulated at the provincial and municipal levels, leading to more standardized and efficient data sharing and utilization [2] - The national registration platform has recorded resources, products, and services covering over 78 categories of the national economy, with a data volume exceeding 6 petabytes [2] Group 3 - The application scenarios for data resources are continuously expanding, with 70 demonstration scenarios released across key industries such as smart agriculture, healthcare, and logistics [3] - More than 14,000 products and services based on meteorological data have been developed, supporting nearly 130,000 application scenarios [3] - The collaboration of policy systems, market mechanisms, application scenarios, and technological innovation is essential for advancing the quality of data resource development and utilization [3]

Group 1 - The total national data production is projected to reach 41.06 ZB in 2024, representing a year-on-year growth of 25%, with an acceleration of 2.56 percentage points compared to the previous year [1] - Key sectors such as artificial intelligence, smart devices, low-altitude economy, and robotics are experiencing rapid data growth due to increased enterprise development and utilization activities [1] - Approximately 66% of leading enterprises and 30% of data technology companies have purchased data, indicating a significant engagement in data utilization [1] Group 2 - The development and utilization of public data resources are accelerating, with a national integrated government data sharing hub supporting over 540 billion calls [2] - Challenges remain in public data development, including insufficient supply, limited openness, and security and cost issues, suggesting a need for more "authorized operation" models to enhance market vitality while ensuring public data's public interest [2] - There is an uneven distribution of data resource development and utilization across regions and industries, with the eastern region being more active, particularly in transportation logistics and electricity sectors [2]

Core Viewpoint - The article emphasizes the importance of advancing the market-oriented reform of data resource allocation and the establishment of a robust data infrastructure to enhance the utilization of data resources in Shaanxi province [1] Group 1: Data Resource Development - The National Development and Reform Commission aims to promote the market-oriented allocation of data elements and implement a comprehensive approach to data resource development and utilization [1] - There is a focus on building a sound policy environment and foundational systems for data [1] Group 2: Infrastructure and Trust - The establishment of credible data spaces and infrastructure is crucial for ensuring the trustworthy and efficient circulation of data [1] - The article highlights the need for effective data infrastructure to support the development of the data industry [1] Group 3: Application and Market Mechanism - The promotion of practical applications of data in various scenarios is essential to leverage the role of data elements and public data [1] - The article discusses the importance of utilizing market mechanisms to manage both on-market and off-market transactions, aiming to create a unified national data market [1] Group 4: Industry Support - There is a strong emphasis on nurturing the data industry and supporting the growth of various data enterprises [1] - The article calls for proactive service measures to assist in the development of the data sector [1]

Core Viewpoint - Data has become a new production factor and an important engine for promoting high-quality economic development, with the launch of pilot projects in key areas for data resource development and utilization [1][2]. Group 1: Key Areas of Data Utilization - In the tourism sector, a cloud platform enables monitoring of over 140 cultural tourism monitoring areas, including A-level scenic spots and the Yellow River landscape belt [1]. - The transportation and logistics sector is implementing a pilot project that integrates multi-dimensional data from various technologies to enhance road management and public travel services [2]. - In the healthcare sector, a pilot project aims to break down data barriers among medical institutions to improve the quality and efficiency of grassroots medical services [2]. Group 2: Pilot Project Objectives - The primary goal of the pilot projects is to address current pain points and bottlenecks in data resource development, encouraging local and industry-specific trials to create replicable and scalable practices [1]. - The pilot projects will focus on establishing a data resource management system, promoting data integration, and developing new mechanisms and models for data utilization [2]. - Successful pilot projects will receive priority support in national and provincial key project applications and policy funding [2].

Core Insights - The meeting held by the National Data Bureau emphasizes the importance of understanding the mechanisms of data elements and the laws of industry development [1] - The focus is on constructing a national integrated data resource development and utilization system, guided by market-oriented and value-driven principles [1] Group 1 - The meeting calls for strengthening integration and sharing of public data, accelerating the implementation of policies for public data development and utilization to unlock its value [1] - There is a push for innovation in trusted data space pilot projects, aiming to create new models for large-scale circulation and utilization of data [1] - The importance of cultivating an open and innovative data industry ecosystem is highlighted, with an emphasis on benefit coordination, stakeholder cultivation, and ecological aggregation [1] Group 2 - The meeting stresses the need for data registration, resource surveys, and standard construction to solidify the foundational work for high-level development and utilization of data resources [1] - The ultimate goal is to better empower high-quality economic and social development through effective data resource management [1]