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].

Core Viewpoint - The Chinese government has issued opinions to strengthen the construction of data-related academic disciplines and the digital talent workforce, emphasizing the need for optimized academic program settings and collaboration between educational and data management departments [1] Group 1: Academic Program Development - The opinions call for the establishment of data science and engineering, as well as digital economy and management programs at degree-granting institutions [1] - There is a focus on creating a talent cultivation mechanism that connects undergraduate, master's, and doctoral programs in data-related fields [1] - Vocational schools are encouraged to adjust data-related programs dynamically based on industry development needs, including the addition of courses in data collection, cleaning, labeling, compliance, and operations [1]

Core Viewpoint - The document outlines a comprehensive strategy to enhance the construction of data element disciplines and the development of digital talent, emphasizing the importance of aligning educational initiatives with national strategic needs and industry demands [1][2]. Group 1: Strengthening Data Element Disciplines - The education and data management departments are encouraged to optimize the establishment of data-related disciplines, supporting the development of programs in data science, digital economy, and management [2]. - A talent cultivation mechanism that connects undergraduate, master's, and doctoral levels in data-related fields is to be established [2]. - Vocational schools are urged to adjust their data-related programs dynamically based on industry needs, including new courses in data collection, cleaning, compliance, and operations [2]. Group 2: Promoting Vocational Education in Data Industry - A collaborative ecosystem for vocational education in the data industry is to be developed, involving government, industry guidance, and enterprise participation [4]. - The establishment of a national data vocational education teaching guidance committee is proposed to enhance the quality of education [4]. - Encouragement for data companies to participate in vocational education, including the creation of practical training bases within schools [4][5]. Group 3: Supporting Academic Research in Data Field - The document emphasizes the need for building academic communities and fostering a digital talent pipeline in the data field [6]. - It calls for the establishment of high-level academic journals and platforms for data research to facilitate the dissemination of quality research outcomes [6]. - Research should focus on critical issues such as data marketization, property rights, and the application of emerging technologies like AI and blockchain [6][7]. Group 4: Facilitating Industry-Academia Collaboration - The creation of typical application scenarios for data technology innovation and industry collaboration is encouraged [8]. - Support for the establishment of specialized colleges in collaboration with enterprises and research institutions to enhance practical training [8][9]. - The document advocates for the development of innovation platforms that integrate education and industry, fostering interdisciplinary research teams [9]. Group 5: Implementation and Monitoring - The National Data Bureau, in collaboration with relevant ministries, will strengthen the organization and implementation of these initiatives, ensuring effective monitoring and evaluation of outcomes [10].