Group 1 - The core objective of the recent policy is to strengthen the construction of data element disciplines and the digital talent workforce, promoting the integration of education, talent, industry, and innovation in the data field [1][2] - The policy emphasizes optimizing the setting of academic disciplines related to data elements, encouraging universities and data enterprises to participate in the development of relevant programs such as data science and digital economy [1][2] - A talent cultivation mechanism that connects undergraduate, master's, and doctoral programs in data-related fields will be established, with vocational schools adjusting their programs based on industry needs [1][2] Group 2 - The policy aims to accelerate research on major issues related to the market-oriented allocation of data elements, focusing on key topics such as data ownership, pricing, and transactions [2] - It encourages the construction of typical application scenarios to promote deep integration of technological and industrial innovation in the data field, with enterprises playing a leading role [2][3] - The establishment of a data element industry-education integration innovation platform is proposed, relying on leading universities to foster interdisciplinary research teams and enhance the quality of research outcomes [3] Group 3 - The policy outlines the need for a collaborative environment among government, industry, academia, and research institutions to cultivate digital talent effectively [3] - It encourages the development of joint technology patents and the sharing of intellectual property benefits to accelerate the commercialization of technology [2][3] - The establishment of a regular working contact mechanism among relevant departments is emphasized to strengthen the organization and promotion of data element discipline construction and digital talent development [3]
五部门:加强人才队伍建设促进数据领域产学研用协同
Zhong Guo Zheng Quan Bao·2025-12-02 20:22