国家数据局党组书记、局长刘烈宏：加快推进数据科技创新 赋能数字中国建设

Core Viewpoint - The article emphasizes the importance of data as a production factor in driving technological innovation and digital transformation in China, highlighting the need for strategic deployment and innovation in data technology to support the construction of a digital China [1][2]. Group 1: Significance of Accelerating Data Technology Innovation - Technological self-reliance is fundamental for national strength and security, with data as a key production factor crucial for seizing opportunities in the digital economy [2]. - Data technology innovation is essential for enhancing international competitiveness and transforming vast data resources into competitive advantages [2][3]. - Data technology innovation serves as a hard support for developing new productive forces and fostering new growth drivers, aligning with high-quality development requirements [3]. Group 2: Technical Demands for Digital China Construction - The "2522" framework proposed by the Central Committee outlines the need for solid digital infrastructure and data resource systems, promoting deep integration of digital technology across various sectors [5]. - The complexity of data necessitates advanced governance and innovative techniques to meet future demands for large-scale data processing and utilization [6]. Group 3: Comprehensive Policies to Promote Data Technology Innovation - The article calls for a top-level design in data technology innovation, emphasizing the need for strategic planning and resource allocation to enhance data technology capabilities [9]. - Accelerating key technology breakthroughs in data supply, circulation, utilization, and security is vital for addressing current challenges in data utilization efficiency and safety [10]. - Promoting the application of data technology results is essential for integrating digital and real economies, enhancing innovation in data-driven industries [11]. Group 4: Strengthening the Foundation for Data Technology Innovation - The establishment of a robust data infrastructure, standard systems, and talent education is crucial for supporting data technology applications and innovations [12]. - The government aims to improve data foundational systems to facilitate effective data resource development and cross-border data flow [11][12].