Data Technology Innovation
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以数据科技创新支撑数字中国发展
Ke Ji Ri Bao· 2026-01-07 07:10
Core Viewpoint - The implementation of the "Opinions on Strengthening Data Technology Innovation" marks a new phase in China's systematic layout and collaborative promotion of data technology innovation, aiming to support the high-quality development of digital China, digital economy, and digital society [1][2]. Group 1: Development Goals - By 2027, China aims to establish a number of leading and supporting data technology innovation platforms, initially building a data-driven industrial innovation system with breakthroughs in key technologies and equipment related to data supply, circulation, utilization, and security [2]. - By 2030, key technologies in the data field are expected to reach international leading levels, with an overall leap in the data technology innovation and industrial ecosystem [2]. Group 2: Key Dimensions of Innovation - The "Opinions" focus on three key dimensions: "technical breakthroughs, ecological cultivation, and foundational support," creating a collaborative nurturing system to transition from extensive support to refined cultivation of data technology innovation [2][3]. - Technical breakthroughs are seen as the driving force for innovation, ecological cultivation as the incubator for innovation implementation, and foundational support as the stabilizing factor for sustained innovation [2]. Group 3: Implementation Pathways - The "Opinions" propose a comprehensive and actionable implementation path to address shortcomings in core data technologies, innovation ecosystems, and application of results, emphasizing the importance of a closed-loop system of "research, validation, and transformation" [3]. - Key measures include strengthening technical breakthroughs in data supply, circulation, utilization, and security, as well as promoting efficient transformation of data technology innovation results [3]. Group 4: Innovation Ecosystem - The "Opinions" emphasize the need for an open, collaborative, and multi-faceted innovation ecosystem, proposing systematic measures across five dimensions: innovation platforms, market entities, open-source ecosystems, research systems, and collaborative exchanges [4]. Group 5: Foundational Support - Data technology innovation is recognized as a long-term and systematic project requiring coordinated efforts across funding, talent, standards, and infrastructure for sustainable development [5]. - The "Opinions" outline measures to accelerate the construction of a national integrated computing power network and strengthen the development of key technology standards in the data field [6]. - Four foundational supports—infrastructure, talent, financial policies, and standard systems—are essential for the sustainable development of data technology innovation, addressing core pain points in the application of technological innovations [6].