五部门联合发文加强数据要素学科专业建设

Core Viewpoint - The document outlines the "Opinions on Strengthening the Construction of Data Element Disciplines and Digital Talent Teams," aiming to enhance the role of data elements in driving innovation and productivity through the integration of education, talent, industry, and innovation chains [1][2]. Group 1: Strengthening Data Element Disciplines - The document emphasizes the need for educational and data management departments to collaborate on building data-related academic disciplines, supporting the establishment of programs in data science, digital economy, and management [1][2]. - It encourages universities to create digital colleges and integrate relevant academic resources, while also accelerating the development of course materials and textbooks in data-related fields [1]. Group 2: Promoting Vocational Education in the Data Industry - The document proposes the establishment of a coordinated system for vocational education in the data industry, involving government, industry guidance, and enterprise participation [2]. - It supports the formation of cross-regional education and industry integration communities led by leading enterprises and high-level educational institutions [2]. Group 3: Academic Research in the Data Field - The document calls for the acceleration of academic communities and the construction of a digital talent pipeline in the data field, including the establishment of technology associations [2]. - It highlights the need for strategic research on major issues related to the market-oriented allocation of data elements and the development of authoritative scientific databases [2]. Group 4: Promoting Collaboration in Data Application - The document stresses the importance of enterprises in constructing application scenarios and identifying technical needs, while supporting educational institutions and research organizations in cultivating innovative digital talent [2]. - It advocates for the formation of interdisciplinary research teams to accelerate the development of key technologies and produce high-quality research outcomes [2][3].