The Data Elements three year action plan was released, what are the focus areas?

Mondo Education Updated on 2024-01-29

The National Data Bureau has made a new move.

On the evening of the 15th, the National Data Bureau announced the "Three-Year Action Plan for Data Elements (2024-2026) (Draft for Comments)" (hereinafter referred to as the "Opinions"), which proposes that by the end of 2026, the breadth and depth of application scenarios of data elements will be greatly expanded, and the multiplier effect of data elements in the field of economic development will be revealed, creating more than 300 typical application scenarios with strong demonstration, high visibility and wide drive. Cultivate a group of data vendors and third-party professional service institutions with strong innovation ability and great market influence, with an average annual growth rate of more than 20% in the data industry, a doubling of the scale of data transactions, and a significant increase in the scale of on-site transactions.

From the perspective of key actions, there are mainly 12 areas, including data elements intelligent manufacturing, data elements smart agriculture, data elements Commerce and trade circulation, data elements transportation, data elements financial services, data elements scientific and technological innovation, data elements cultural tourism, data elements medical and health, data elements emergency management, data elements meteorological services, data elements smart cities, data elements green and low-carbon.

For example, in terms of data elements and intelligent manufacturing, it is necessary to innovate the R&D model, support the integration of design and experimental verification data of industrial manufacturing enterprises, cultivate a new model of data-driven product R&D, and enhance the innovation ability of enterprises. Promote collaborative manufacturing, support chain owners to open up the upstream and downstream design, planning, quality, logistics and other data of the chain, and achieve agile and flexible collaborative manufacturing.

In the field of data element scientific and technological innovation, promote the orderly and open sharing of scientific data, strengthen the open sharing of all kinds of scientific data generated by major scientific infrastructure, field stations, scientific research instruments, scientific computing, etc., and enhance the value of scientific data reuse on the basis of paying attention to the protection of intellectual property rights. Supporting industrial innovation with scientific data, providing high-quality scientific data resources and knowledge services for enterprises in the fields of drug research and development, biological breeding, new material research and development, and high-tech research and development, so as to help improve the independent innovation ability of enterprises. Support the development of large models with scientific data, dig deep into all kinds of scientific data including scientific and technological literature, build a scientific knowledge resource base through fine-grained knowledge extraction, build high-quality corpora and basic scientific datasets, and support the training of large models of general artificial intelligence and artificial intelligence in vertical fields.

At the opening ceremony of the 2023 Global Digital Business Conference held on November 25, Liu Liehong, director of the National Data Bureau, proposed that the National Data Bureau would focus on giving full play to the role of data element multiplier and work with relevant departments to study and implement the "data element X" action.

He said that data has the characteristics of increasing returns to scale, non-competition, and low-cost reuse. Acting on different subjects and combining with different elements can produce different degrees of multiplier effect. By accelerating the development and utilization of data in various industries and fields, we can improve the collaborative efficiency of various factors, find the optimal solution for resource allocation, break through the boundaries of output, create new industries and new business forms, and achieve a multiplier effect to promote economic development.

Specifically, it is necessary to achieve global optimization, improve industrial operation efficiency, and enhance the core competitiveness of the industryExpand the boundaries of production possibilities through reuse, release new value of data, and expand new space for economic growthPromote quantitative change and qualitative change through integration, give birth to new applications and new business formats, and cultivate new momentum for economic development.

For example, by opening up the data of the manufacturing industry chain, the efficient collaboration and R&D and manufacturing of upstream and downstream parts factories and OEMs in the first chain can be realized, effectively shortening the R&D cycle, reducing the cost of the first chain, and creating cost-effective products with higher quality and better performance.

Liu Liehong said that the larger the scale and more types of data, the more information and knowledge generated, the greater the space for creating value.

According to the opinions, in terms of strengthening security support, it is proposed to improve the data resource system, and promote scientific research institutions, leading enterprises, and technical service providers to carry out the construction of industry common data resource libraries in the fields of scientific research, culture, and transportation, so as to create high-quality artificial intelligence large model training datasets. Strengthen the supply of public data resources, and support the development of pilot projects for authorized operations of public data in key areas.

In addition, the opinions put forward to strengthen financial support. Increase investment support within the budget and implement the "data element x" pilot project. Explore diversified investment and financing models, give play to the role of relevant guidance and industry, and guide and encourage all kinds of social capital to invest in the data industry. Support data vendors and third-party professional service providers to go public and raise funds.

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