12家央企牵头试点数据资源开发利用

Core Insights - State-owned enterprises (SOEs) are crucial for the development and utilization of data resources, which enhances their core competitiveness and fosters innovation across the industrial chain [1][2] - The National Data Bureau, in collaboration with the State-owned Assets Supervision and Administration Commission, has initiated pilot projects for data resource development in 12 central enterprises, aiming to create a positive environment for data utilization [1][2] - The data efficiency enhancement initiative is aligned with the new round of SOE reforms, focusing on integrating data applications into various operational aspects to drive deep changes in governance and business models [2] Summary by Sections Data Resource Development - The pilot program involves collaboration between SOEs, private enterprises, research institutions, and professional service organizations to enhance data resource utilization [1] - The initiative aims to promote high-quality data resource development and digital transformation within SOEs, while encouraging them to fulfill social responsibilities and open data resources at a higher standard [1][2] Key Focus Areas - The data efficiency enhancement action focuses on four main areas: innovating data management mechanisms, fostering the data industry, empowering industrial transformation, and optimizing the innovation environment [2] - Ten key tasks have been outlined, targeting sectors such as energy, transportation, mining, manufacturing, satellite remote sensing, new materials, agriculture, construction, and green low-carbon initiatives [2] Expected Outcomes - By 2027, the initiative aims to significantly improve SOEs' data governance capabilities and enhance the level of data resource development and sharing, benefiting over 100,000 small and medium-sized enterprises [2] - The National Data Bureau will work closely with the State-owned Assets Supervision and Administration Commission to guide the orderly advancement of pilot projects, ensuring the transformation of data into a powerful driver for industrial upgrades and public welfare [3]