The data operating system helps the digital transformation and upgrading of thousands of industries

At present, the integrated development of digital intelligence technology, represented by big data and large models, has accelerated the evolution of human society from industrial civilization to digital civilization. Data is a new factor of production and an important social wealth, which plays an important role in comprehensively empowering the deep transformation of industries and promoting the innovative allocation of traditional factors of production. Building a data operating system and activating the value of data elements is an inevitable choice to improve the efficiency of economic operation, develop new quality productivity, and achieve high-quality development.

1. Data is a key factor of production in the era of digital economy

Data intelligence technologies such as big data and large models promote the evolution of the information space of human-machine collaboration to the data space of human-machine-object integration, give birth to the formation of new quality productivity of data intelligence, carry out subversive changes to traditional production methods, help the digital transformation and upgrading of thousands of industries, promote new industrialization, and accelerate the evolution of human society from industrial civilization to digital civilization. After years of development, the mainland's information technology industry system has become increasingly complete, the digital infrastructure is leading in the world, and the in-depth development of industrial digitalization has laid the foundation for promoting the reform of the market-oriented allocation of data elements, but it also faces some problems that need to be solved urgently, such as the low quality of data resources, insufficient reuse, disorderly circulation, and the environment for the compliant and efficient circulation and utilization of data has not yet been established, resulting in the potential of data resources not being fully utilized. To solve these problems, we need not only scientific and rational institutional arrangements, but also the support of new technical products and production tools. The data operating system manages and governs the whole life cycle of data elements, and is the most important new quality production tool for data intelligence.

2. The data operating system is an important tool to activate the potential of data elements

Data elementalization is the transformation process from raw data to data resources, data products, data services and data assets, and it is also the value realization process of deep integration of data elements with the real economy and industry applications. Building a data operating system that is compatible with the realization of the value of data elements will help systematically solve the problem of compliant and efficient circulation and utilization of data, and better empower the digital transformation of various industries. The data operating system takes data as the object of management and operation, takes networked and protocol-based data collaboration technology as the core, covers the collection, storage, analysis, exchange and governance of the whole life cycle of data, supports efficient interconnection, interoperability and interoperability of data across systems, organizations, departments, industries and regions, can effectively support the efficient management, service and collaboration of data in a wide area, and realize multi-scenario, large-scale, high-quality and efficient data reuse and value release. It will play an important role in the reform of the market-oriented allocation of data elements and the promotion of the deep digital transformation of the industry.

The data operating system is an important foundation for data governance and efficient management. The system integrates data acquisition, exchange, storage, analysis and management technologies to help users complete basic functions such as account management, data storage, data exchange and data processing. Among them, the account system is the housekeeper, which is mainly responsible for the management and distribution of user permissions, controls the scope and mode of data accessed and operated by users, prevents illegal access and data leakage, and ensures data security and privacy. The storage system is the foundation, which is mainly responsible for data storage and backup, providing efficient, secure, and stable data storage services to ensure data integrity and durability. The exchange system is the core, which is mainly responsible for the real-time transmission and trusted exchange of data, through the rapid and trusted exchange and organic integration of different data sources, it can better support real-time analysis and scientific decision-making, and meet the needs of large-scale data analysis and mining.

A data operating system is an effective tool to break down data silos and promote value reuse. The system supports the integration of full data catalogs, full-cycle standardized management and efficient collaboration of the whole process, and has the characteristics of networking and protocol, which can help governments and enterprises realize cross-domain governance of data, promote the reuse and value release of private domain data, and significantly improve the circulation efficiency of data elements. The system supports distributed connection of multi-source heterogeneous and discretely distributed data sources, data warehouses, data lakes, data middle platforms, etc., to form a trusted data interconnection and exchange network, and realize intelligent data routing and positioning, standardized cataloging and retrieval, and accurate classification management. The system adopts a new technical route of networking and protocol, which can realize cross-domain user interconnection, cross-domain data exchange, cross-scenario data reuse and ubiquitous governance applications, which provides a means to break the data "island" and smooth the data "meridians", and can combine a new generation of data intelligence technologies such as large models to provide support for the efficient activation of the value of data elements and the development of new quality productivity.

The data operating system is an "accelerator" to promote the digital transformation of the industrial chain. The digital transformation of the industrial chain requires efficient collaboration of upstream and downstream data in the industry, and the data operating system has broad application prospects. The data operating system can effectively open up the data chain of R&D and design, manufacturing, and marketing services, and realize the close integration of the consumer Internet and the industrial Internet. It can promote the deep integration of data operating systems and industry applications, realize the end-to-end integration of product engineering, the integration of functional systems such as marketing, manufacturing, supply and service, and the integration of industrial chain value networks, promote the integration and interaction and collaborative transformation of upstream and downstream enterprises in the industrial chain, and promote the overall leap of the industrial value chain. Especially in the industrial field, the use of data operating system can be used to build a trusted, transparent and traceable industrial data exchange network for the industrial Internet, and define data discovery, acquisition and use rules through distributed directory collaboration, blockchain, smart contracts, etc., to ensure real-time trusted collection, secure exchange and interconnection and interoperability of industrial data. On this basis, through the integration of intelligent technologies such as large models, the overall allocation of industrial resources can be better realized, the formation of a new data-driven new manufacturing model can be promoted, and new technical tools can be provided for taking the new road of industrialization.

3. Data operating systems empower the digital transformation of thousands of industries

At present, the data networking team of Peking University, the data management and governance team of Shenzhen Academy of Computing Sciences, and the trusted data exchange team of Tus-Data Asset Research Institute have carried out useful explorations in the field of data operating systems, and carried out pilot applications in education and scientific research, customs cross-border, park management, medical industry, industrial Internet and other industries, and will also accelerate the popularization of steel, new energy, lithium batteries, glass fiber, nylon, carbon new materials and other industries, and strive to accelerate the formation of a number of independent original, applicable and practical industry application solutions.

In the future, the data operating system will have a great role in empowering the digital transformation of thousands of industries, firstly, to help solve the high-quality data crisis faced by the development of artificial intelligence and form a large-model agent data supply chain solution; The second is to support the open and intelligent application of data resources in universities and scientific research institutions, and form intelligent data solutions for teaching, scientific research and industry training; the third is to support green, low-carbon and high-quality development, and form intelligent solutions for energy and carbon data; Fourth, support the digital transformation and coordinated development of the industrial chain, and form an intelligent solution for the production data of the industrial chain; Fifth, we will explore a new model of data space governance for regional cooperation and mutual benefit and win-win results for the orderly cross-border flow of data.