五部门：加强数据要素学科专业建设和数字人才队伍建设

Core Viewpoint - The document outlines a comprehensive strategy to strengthen data-related academic disciplines and digital talent development in China, emphasizing the importance of aligning educational programs with industry needs and national strategic goals [1][3][4]. Group 1: Academic Discipline Development - Educational departments and data management agencies will collaborate to enhance data-related academic programs, supporting institutions in establishing degrees in data science, digital economy, and management [4][5]. - A talent cultivation mechanism will be established to ensure seamless transitions between undergraduate, master's, and doctoral programs in data-related fields [4][5]. - Vocational schools will be encouraged to adjust their data-related programs dynamically based on industry needs, including new courses in data collection, cleaning, compliance, and operations [4][5]. Group 2: Industry-Oriented Vocational Education - A system for data industry vocational education will be developed, integrating government oversight, industry guidance, and enterprise participation [6][7]. - The establishment of a national data vocational education teaching advisory committee is proposed to enhance the quality of education [6]. - Collaboration between data companies and vocational schools will be encouraged to create practical training bases and improve the quality of teaching [7]. Group 3: Research and Academic Collaboration - The document emphasizes the need for building academic communities and fostering a digital talent pipeline in the data field [8][9]. - It calls for the establishment of high-level academic journals and platforms for data research to facilitate the dissemination of knowledge and innovations [8]. - Research will focus on critical issues such as data marketization, property rights, and the application of emerging technologies like AI and blockchain [8][9]. Group 4: Application and Innovation - The creation of typical application scenarios is encouraged to promote collaboration between academia and industry, enhancing the practical training of digital talent [10][11]. - Innovative collaborative training models will be supported, with a focus on developing core courses and practical projects in data-related fields [10][11]. - The establishment of technology innovation platforms is proposed to foster interdisciplinary research and the development of cutting-edge technologies in the data sector [11][12]. Group 5: Implementation and Monitoring - A mechanism for ongoing collaboration among government, industry, and academia will be established to ensure effective implementation of the proposed strategies [12]. - The National Data Bureau will monitor the effectiveness of these initiatives and promote successful case studies [12].