Unleashing the innovation engine of data

With the acceleration of digital technology innovation and iteration, data, as a key factor of production, has been rapidly integrated into various aspects of production, distribution, circulation, consumption and social service management, becoming an important force driving economic and social development. "Play the role of data as a basic resource and an engine of innovation, and accelerate the formation of a digital economy with innovation as the main leader and support." Making effective use of data elements, giving better play to the digital, networked and intelligent foundation of data, and collaborating to promote technological, model, industry and institutional innovation are of great significance to deepen the innovation drive and promote high-quality development.

The data element is the core engine for the deepening development of the digital economy. To give full play to the advantages of data resources and tap the potential of data value, it is necessary to continuously improve the institutional mechanisms related to the cultivation and development of data elements and accelerate the construction of data foundation systems, so that data elements can better empower innovation and inject powerful momentum to promote high-quality development.

First, data elements can promote knowledge and technology innovation. Data elements are data that can participate in social production and business activities, bring economic benefits to users or owners, and are recorded in electronic form. The key to unlocking the value of data elements lies in data development and utilization. By combining artificial intelligence algorithms, economic mathematical models and domain expertise in the process of processing and using data elements, the government, enterprises and research institutes can discover new laws, research new theories and create new knowledge or technology, bringing more economic benefits and greater social value by combining artificial intelligence algorithms, economic mathematical models and domain expertise to clean, analyse and model data in all aspects of research and development, design, production, marketing and decision-making.

Second, data elements can optimise the allocation of science and technology innovation factors. The factors for realising science and technology innovation include physical and virtual factors such as labour, capital, land, technology, data and enterprise innovation spirit. In the traditional factor market, there are information asymmetry and poor circulation of factors, which are prone to problems such as mismatch between supply and demand of innovation factors and make the use of innovation resources deviate from the optimal allocation. Through the mining and analysis of data elements, we can reduce information interaction bias and factor transaction costs, promote the flow of innovation factors to enterprises and industries with high production efficiency and high marginal output, and break through "information islands" and "data barriers", so as to achieve efficient allocation of factors. Efficient allocation.

Thirdly, data elements can enhance the innovation and development capacity of industries. On the one hand, as the basis for digitisation, networking and intelligence, data elements can participate in the innovation process of technology, products, markets, organisations and management, relying on information technology to drive innovation, promote digital industrialisation, continuously give rise to new industries, new business models and new modes, cultivate and strengthen a number of new industries with growth potential, create more new demand and new jobs, and explore new economic growth points. On the other hand, promoting the efficient flow of data, facilitating the digital transformation of industries and realising the deep integration of the digital economy with the real economy will greatly enhance the level of collaborative innovation of traditional industries across regions, scenes and industries, and improve the quality and efficiency of industrial development.

To give better play to the role of data elements in promoting innovation, we can focus on the following four aspects.

First, to build a data foundation system that highlights innovation leadership and encourages data elements to invest in innovation. The data foundation system is the institutional guarantee for data elements to empower innovation. It is necessary to establish a data property rights system, promote the structural division and orderly circulation of data property rights, strengthen the supply of high-quality data elements, and promote the classification and grading of data to authorize the use and market-oriented circulation and trading. A compliant and efficient system for the circulation and trading of data elements should be established, so that data elements can circulate more smoothly and be traded more efficiently. It is necessary to establish a data factor revenue distribution system that reflects efficiency and promotes fairness, so as to stimulate the vitality and potential of data factors to empower innovation and collaborative innovation. Policy support and guidance should also be strengthened to stimulate innovation and entrepreneurship creation, so that more data elements can participate in the innovation process.

Secondly, we should promote the integration and development of digital and industry, and deepen the integration of industrial and innovation chains. An important path for data elements to drive innovation lies in promoting the in-depth integration of the digital economy with the real economy and the efficient allocation of innovation elements in the real economy. It is necessary to promote digital transformation in an integrated manner for the needs of various market players, industries and regions. The key grip of data factor-driven innovation lies in promoting the deep integration of innovation chains and industrial chains. We should strengthen the combination iteration and cross-fertilization of data factors and other production factors, promote multi-field, multi-dimensional and systematic breakthroughs in production factors, deploy innovation chains around industrial chains and layout industrial chains around innovation chains, deeply implement the industrial internet innovation development strategy, and play the role of data as an innovation engine.

Third, we are committed to building a digital talent highland and strengthening key core technology research. The key to giving full play to the role of data elements lies in expanding the supply of high-level digital innovation talents. We must innovate the system of training scientific and technological talents, make the training of digital talents an important part of discipline construction, improve the digital literacy and skills of the whole population, and train and create a large number of high-level composite talents who understand both professional fields and digital technology. It is also necessary to enhance the technological innovation and supply capacity of key software and hardware, and strengthen the research on the basic theory of digital science and technology and the construction of digital infrastructure.

Fourthly, we should build a multi-party collaborative governance model and build a solid security barrier for the innovation and development of the digital economy. The role of data elements in driving innovation cannot be achieved without strong security governance. The role of the government in guiding and regulating development in an orderly manner should be given full play, and a multi-party collaborative governance model should be built among the government, enterprises and society. It is necessary to compact the data governance responsibilities of enterprises, enhance corporate social responsibility and promote fair competition. It is also necessary to enhance data security, network security protection and other aspects of capacity, and to carry out security requirements throughout the entire process of data element-enabled innovation.