五部门发文加强数据要素建设 鼓励地方推出算力券等支持措施

Core Viewpoint - The National Development and Reform Commission, along with four other departments, has released an opinion aimed at strengthening data element discipline construction and digital talent development, proposing specific measures across four key areas: enhancing data element disciplines, promoting vocational education in the data industry, fostering academic research in the data field, and facilitating collaboration among industry, academia, and research [1][4]. Group 1: Enhancing Data Element Disciplines - The opinion supports the establishment of digital colleges in comprehensive universities to integrate relevant academic resources [2][5]. - It encourages specialized universities in fields such as science, finance, law, media, and arts to strengthen the construction of advantageous majors related to data technology, analysis, security, digital economy, finance, management, law, governance, media, and art [2][5]. Group 2: Promoting Vocational Education in the Data Industry - The opinion proposes the establishment of a coordinated system for vocational education in the data industry, involving government oversight, industry guidance, and enterprise participation [3][6]. - It encourages the creation of regional industry-education joint entities based on industrial parks to facilitate talent cultivation, innovation, and high-quality development of the data industry [3][6]. Group 3: Fostering Academic Research in the Data Field - The opinion emphasizes the need for strategic research in the data field, focusing on key issues such as data property rights, pricing, and trading [3][6]. - It calls for in-depth research on foundational theories and policy laws related to data elements, keeping pace with advancements in technologies like artificial intelligence, blockchain, and privacy-preserving computing [3][6]. Group 4: Facilitating Collaboration Among Industry, Academia, and Research - The opinion highlights the importance of strengthening the leading role of enterprises in constructing application scenarios, identifying technical needs, and implementing results [1][4]. - It encourages data companies to participate in vocational education, collaborating on student training, technology research, product innovation, and result transformation [3][6].