The Ministry of Industry and Information Technology officially released the Big Data Industry Development Plan (2016-2020)
Notice of the Ministry of Industry and Information Technology on Printing and Distributing the Big Data Industry Development Plan (2016-2020)
GXBG [2016] No. 412
The competent departments of industry and informatization of all provinces, autonomous regions, municipalities directly under the Central Government and cities specifically designated in the state plan, Xinjiang Production and Construction Corps, the communication administrations of all provinces, autonomous regions and municipalities directly under the Central Government, relevant central enterprises, and units directly under the Ministry:
In order to implement the 13th Five Year Plan for National Economic and Social Development of the People's Republic of China and the Action Plan for Promoting Big Data Development, accelerate the implementation of the national big data strategy, and promote the healthy and rapid development of the big data industry, our Ministry has prepared the Big Data Industry Development Plan (2016-2020). Now it is printed and distributed to you. Please implement it according to the actual situation.
Ministry of Industry and Information Technology
December 18, 2016
Big Data Industry Development Plan (2016-2020)
Data is a national basic strategic resource and a "diamond mine" in the 21st century. The CPC Central Committee and the State Council attach great importance to the role of big data in economic and social development. The Fifth Plenary Session of the 18th CPC Central Committee proposed "implementing the national big data strategy", and the State Council issued the Action Outline for Promoting the Development of Big Data to comprehensively promote the development of big data and accelerate the construction of a strong data country. The "13th Five Year Plan" period is a decisive stage for China to build a moderately prosperous society in an all-round way and a critical period for the continuous transformation of old and new drivers. The global new generation of information industry is in a period of accelerated transformation, big data technology and applications are in a period of innovation and breakthrough, and domestic market demand is in an explosive period. China's big data industry is facing important development opportunities. Seizing the opportunity to promote the development of big data industry is of great significance for improving government governance ability, optimizing public services for people's livelihood, and promoting economic transformation and innovative development. In order to promote the sustainable and healthy development of China's big data industry, thoroughly implement the spirit of the Fifth Plenary Session of the 18th CPC Central Committee, implement the national big data strategy, and implement the State Council's Action Plan for Promoting Big Data Development, this plan is prepared in accordance with the overall deployment of the 13th Five Year Plan for National Economic and Social Development.
1、 The foundation of developing big data industry in China
Big data industry refers to relevant economic activities focusing on data production, collection, storage, processing, analysis and services, including data resource construction, development, sales and leasing of big data software and hardware products, and related information technology services.
During the "Twelfth Five Year Plan" period, China's information industry grew rapidly, information technology developed rapidly, and the Internet economy became increasingly prosperous. It accumulated rich data resources, made significant breakthroughs in technological innovation, and achieved good application momentum, laying a solid foundation for accelerating the development of China's big data industry during the "Thirteenth Five Year Plan" period.
Informatization has accumulated rich data resources. The development level of informatization in China is increasing, and the collection, mining and application level of data resources is deepening. The level of government informatization has been continuously improved, with 84000 government websites facing the public nationwide. The construction of smart cities is in full swing, and nearly 300 cities have carried out smart city pilots during the "12th Five Year Plan" period. The process of integration and development of industrialization and industrialization is deepening and entering a new stage of in-depth development. Information consumption is booming, with more than 700 million netizens and 1.3 billion mobile phone users, both ranking first in the world. The monthly average mobile Internet access traffic of households reached 835M. Government departments, Internet enterprises and large group enterprises have accumulated a lot of data resources. China has become one of the countries with the largest amount of data and the richest data types.
Significant breakthroughs have been made in big data technology innovation. In terms of software and hardware, domestic backbone software and hardware enterprises have successively launched self-developed big data basic platform products, and a number of information service enterprises have developed data analysis tools for specific fields to provide innovative data services. In terms of platform construction, the single cluster scale of Internet leading enterprise servers has reached tens of thousands, and it has the technical strength to build, operate and maintain a large-scale large data platform. In terms of intelligent analysis, some enterprises actively deploy advanced AI technologies such as deep learning, and seize the technical commanding heights in voice recognition, image understanding, text mining, etc. In terms of open source technology, China's contribution to the international big data open source software community is growing.
The application of big data has a good momentum. Big data has been widely used in Internet services, greatly improving the personalized and intelligent level of online social networking, e-commerce, advertising, search and other services, and promoting data driven emerging formats such as sharing economy. Big data accelerates the penetration into traditional industries, drives the transformation of production mode and management mode, and promotes the development of manufacturing industry towards networking, digitalization and intelligence. Telecommunications, finance, transportation and other industries use the accumulated rich data resources to actively explore applications such as customer segmentation, risk prevention and control, and credit evaluation, and accelerate the pace of service optimization, business innovation and industrial upgrading.
Big data industry system has taken shape. In 2015, the income of China's information industry reached 17.1 trillion yuan, double that of the 12th Five Year Plan period in 2010. Among them, software and information technology service industry realized software business revenue of 4.3 trillion yuan, up 15.7% year on year. Large data centers are developing towards green and intensive. There are 295 enterprises operating Internet data center (IDC) business across regions. Cloud computing services have gradually matured, and the data processing scale of major cloud computing platforms has become the world's top, providing powerful computing storage capacity for big data and promoting data aggregation. A number of new models and formats have emerged in the field of big data resource construction, big data technology and big data application. The industrial pattern of leading enterprises and interaction between upstream and downstream enterprises has initially taken shape. Innovation and entrepreneurship based on big data are becoming increasingly active, and big data technology, industry and services have become the focus of social capital investment.
The supporting capacity of big data industry is growing. The big data standardization working mechanism has been formed, the big data standard system has been initially formed, and the development of big data technology, trading, open sharing, industrial big data and other national standards has been carried out. Some standards have been piloted and demonstrated in Beijing, Shanghai and Guiyang. A number of industrial support platforms in the form of big data technology research and development laboratories, engineering centers, enterprise technology centers, industrial innovation platforms, industrial alliances, investment funds, etc. have been built. The big data security system and laws and regulations have been continuously improved.
2、 The situation faced during the "13th Five Year Plan" period
Big data becomes the strategic commanding height for shaping national competitiveness First, national competition is becoming increasingly fierce. The ability of a country to master and use big data has become an important manifestation of national competitiveness. Countries have taken big data as their national development strategies and industrial development as the core of big data development. The United States attaches great importance to the research, development and application of big data. In March 2012, it launched the "Big Data Research and Development Initiative" to manage and apply big data as an important national strategic resource. In May 2016, it further released the "Federal Big Data Research and Development Plan" to continuously strengthen the layout of big data research, development and application. The EU launched the strategy of "data driven economy" in 2014, advocating European countries to seize the opportunities of big data development. In addition, the UK, Japan, Australia and other countries have also introduced similar policies to promote the application of big data and drive industrial development.
big data Drive the information industry pattern accelerate change Innovation and development face rare opportunities. In today's world, a new round of scientific and technological revolution and industrial reform is emerging, and the pattern of the information industry is facing tremendous changes. Driven by big data, information technology is in the process of switching between old and new tracks. New technologies and new models such as distributed system architecture and multi heterogeneous data management technology are developing rapidly. The industrial pattern is in a critical period of innovation and transformation. China is facing major opportunities to accelerate development.
China's economic and social development has put forward higher requirements for informatization, and the development of big data has a strong endogenous power. Promoting the application of big data, accelerating the digitalization and intellectualization of traditional industries, and making the digital economy bigger and stronger can provide new impetus for China's economic transformation and development, create new opportunities for reshaping the national competitive advantage, and open up new ways to improve the government's governance ability, which is an important starting point to support the national strategy. At present, China is promoting the supply side structural reform and the construction of a service-oriented government, accelerating the implementation of the "Internet Plus" action plan and the Made in China 2025 strategy, building a fair, inclusive, convenient and efficient livelihood service system, creating a broad market space for the big data industry, which is a strong endogenous driving force for the development of China's big data industry.
China's big data industry has a good foundation and faces rare development opportunities, but there are still some difficulties and problems. everything The degree of openness and sharing of data resources is low. The data quality is not high, the data resource circulation is not smooth, the management ability is weak, and the data value is difficult to be effectively mined and used. Second The ability of technological innovation and support is not strong. There is still a big gap between China and foreign countries in terms of new computing platforms, distributed computing architecture, big data processing, analysis and presentation, and its influence on open source technology and related ecosystems is weak. Third The application level of big data is not high. The development of big data in China has a strong application market advantage, but there are still problems such as not extensive application fields, not deep application degree, and not enough understanding. Fourth The big data industry support system is not perfect. Data ownership, privacy and other relevant laws and regulations as well as information security, open sharing and other standards and specifications are not perfect, and a data opening, management and information security guarantee system that takes into account security and development has not been established. Five is The construction of talent team needs to be strengthened urgently. There is a shortage of talents in big data basic research, product R&D and business application, which is difficult to meet the development needs.
The "13th Five Year Plan" period is the decisive stage for China to build a moderately prosperous society in an all-round way, the initial stage for implementing the national big data strategy, and the important window period for the rise of the big data industry. We must seize the opportunity to accelerate development and realize the transformation from a data power to a data power.
3、 Guiding ideology and development objectives
（1） Guiding ideology
Fully implement the spirit of the 18th National Congress of the Communist Party of China and the Third, Fourth, Fifth and Sixth Plenary Sessions of the 18th Central Committee of the Communist Party of China, adhere to the development concept of innovation, coordination, green, openness and sharing, focus on the implementation of the national big data strategy, strengthen the innovation and development capacity of big data industry as the core, and focus on promoting data openness and sharing, strengthening technology product research and development, and deepening application innovation, With the support of improving the development environment and improving the security guarantee ability, we will build an independent industrial ecosystem for the coordinated development of data, technology, applications and security, comprehensively improve the resource control ability, technology support ability and value mining ability of China's big data, accelerate the construction of a strong data country, and strongly support the construction of a manufacturing power and a network power.
（2） Development principles
Innovation driven 。 Aiming at the cutting-edge field of big data technology development, strengthen innovation capability, improve innovation level, focus on tackling key technologies of big data with enterprises as the main body, accelerate product research and development, develop and expand emerging big data service formats, strengthen collaborative innovation of big data technology, applications and business models, and foster market-oriented and networked innovation ecology.
Application leading 。 Give play to the advantages of China's large market scale and strong application demand, take the national strategy, people's needs and market demand as the traction, accelerate the research and development of big data technology products and their applications in various industries and fields, promote the application of big data across industries, fields and regions, and form a benign and interactive industrial development pattern.
Open sharing. Gather global big data technology, talent, capital and other element resources, adhere to the combination of independent innovation and open cooperation, and take an open big data industry development path. Establish the concept of open and shared data, improve relevant systems, and promote open and shared data resources and information circulation.
Overall coordination. Give full play to the main role of enterprises in big data industry innovation, increase government policy support and guidance, create a good policy and regulatory environment, and form a mechanism for coordinated promotion of government, industry, university, research and use. Strengthen the convergence of big data development policies among the central, departmental and local governments, optimize the industrial layout, and form a synergy of development.
Safety regulations. Security is the premise of development, and development is the guarantee of security. We should attach equal importance to development and security, strengthen the technical support capability of information security, establish and improve the security protection system, and ensure information security and personal privacy. Strengthen industry self-discipline, improve industry supervision, and promote orderly flow and standardized utilization of data resources.
（3） Development objectives
By 2020, a big data industrial system with advanced technology, prosperous application and strong guarantee will be basically formed. The revenue of big data related products and services exceeded 1 trillion yuan [1], with an average annual compound growth rate of about 30%. We will accelerate the construction of a data power and provide strong industrial support for the realization of a manufacturing power and a network power.
——The technical products are advanced and controllable. In terms of the basic software and hardware of big data, we have formed safe and controllable technical products, reached the international advanced level in the field of big data acquisition, storage management and processing platform technology, and taken a leading position in algorithms and tools such as data mining, analysis and application. We have formed a batch of products, solutions and services with independent innovation and advanced technology to meet the needs of major applications.
——The application ability has been significantly enhanced. The application of industrial big data fully supports intelligent manufacturing and industrial transformation and upgrading. Big data is widely and deeply applied in innovation and entrepreneurship, government management and people's livelihood services. The capability of technology integration, business integration and data integration has been significantly improved, and collaborative management and services across levels, regions, systems, departments and businesses have been achieved, Form a new model of data driven innovative development.
——The ecosystem is thriving and developing. We will form a number of big data backbone enterprises with outstanding innovation capabilities, cultivate a number of specialized data service innovative SMEs, and cultivate 10 internationally leading big data core leading enterprises and 500 big data application and service enterprises. A relatively complete big data industry chain has been formed, and the big data industry system has taken initial shape. Build 10-15 big data comprehensive pilot areas, create a number of big data industry clusters, and form several big data new industrial demonstration bases.
——The ability to support is growing. Establish and improve the big data standard system covering technology, products and management. Establish a number of regional and industrial big data industry and application alliances and industrial organizations. Cultivate a number of professional service institutions such as big data consulting and research, testing and evaluation, technology and intellectual property, investment and financing. Build 1-2 open source communities with standardized operation and certain international influence.
——Strong data security guarantee. The data security technology has reached the international advanced level. The national data security protection system was basically completed. The data security technology guarantee capability and guarantee system basically meet the national strategy and market application needs. The laws and regulations on data security and personal privacy protection are relatively complete.
4、 Key tasks and major projects
（1） Strengthen big data technology products research and development
Guided by application, it breaks through the key technologies of big data, promotes the R&D and industrialization of products and solutions, innovates the technical service mode, and forms a technologically advanced and ecologically complete technical product system.
Accelerate the research and development of key technologies of big data. Focus on the theoretical system of data science, big data computing system and analysis, big data application model and other fields to make a forward-looking layout, and strengthen the basic research of big data. Give play to the role of enterprises as the main body of innovation, integrate the advantages of industry, university and research resources to jointly tackle key problems, and research and develop key technologies such as big data collection, transmission, storage, management, processing, analysis, application, visualization and security. Breakthrough in big data basic technologies such as large-scale heterogeneous data fusion, cluster resource scheduling, distributed file system, general computing framework technology for multitasking, and computing engine technologies such as stream computing and graph computing. Support advanced technology innovation such as deep learning, brain like computing, cognitive computing, blockchain, virtual reality, and improve data analysis and processing and knowledge discovery capabilities. In combination with industry applications, research and develop smart data application technologies such as big data analysis, understanding, prediction, decision support and knowledge services. Breakthrough in new big data oriented computing, storage, sensing, communication and other chips and fusion architecture, memory computing, billion level concurrency EB level storage, green computing and other technologies promote the coordinated development of software and hardware.
Cultivate safe and controllable large scale data Product system. Take application as the traction, pay equal attention to independent research and development and introduction and absorption, and accelerate the formation of safe and controllable big data product system. Focus on breakthroughs in core information technology equipment and information security products for big data application infrastructure, as well as new transaction oriented relational databases, columnar databases NoSQL database, large-scale graph database, new generation distributed computing platform and other basic products. Accelerate the research and development of new generation business intelligence, data mining, data visualization, semantic search and other software products. In combination with the requirements of data life cycle management, cultivate platform products such as big data collection and integration, big data analysis and mining, big data interactive awareness, and data resource management based on semantic understanding. Facing the application needs of key industries, research and develop big data retrieval, analysis, display and other technical products with industry characteristics to form mature big data solutions and services in vertical fields.
Innovative big data technology service pattern. Accelerate the innovation of big data service model, cultivate new data as a service model and new formats, improve big data service capability, and reduce the threshold and cost of big data application. Develop technical services such as data collection, cleaning, analysis, trading, security protection, etc. around the needs of all stages of the data life cycle. Promote the integration of big data and cloud computing service models, promote the development of public cloud computing services such as massive data, large-scale distributed computing and intelligent data analysis, and improve the ability of third-party big data technology services. Promote the deep integration of big data technical services with the industry, and cultivate a big data service model oriented to vertical fields.
Column 1: Key technologies of big data and product R&D and industrialization engineering
Breakthrough technology. Support research on common key technologies of big data, and implement major projects such as cloud computing and big data key projects. We will strive to break through key technologies such as new server architecture and green energy-saving technology, storage and management technology for massive multi-source heterogeneous data, trusted data analysis technology, multiple computing models and programming frameworks for big data processing.
Create products. Application oriented, support big data product research and development, establish a sound big data tool type, platform type and system type product system, form mature big data solutions for all industries, and promote the research, development and industrialization of big data products and solutions.
Build brand. Support Chinese big data enterprises to build their own brands and improve their market competitiveness. Guide enterprises to strengthen product quality control, improve innovation ability, and encourage enterprises to strengthen strategic cooperation. We will strengthen intellectual property protection and promote the industrialization and international application of independent intellectual property standards. Cultivate a batch of internationally renowned big data products and service companies.
Column 2: Big Data Service Capability Improvement Project
Cultivate the data as service model. Develop data resource services, online data services, big data platform services and other models, support enterprises to fully integrate, mine, and use their own data or public data resources, face specific needs and industry fields, carry out data analysis, data consulting and other services, and form a new model of providing data services on demand.
Support third-party big data services. Encourage enterprises to explore new business models such as data collection, data cleaning, and data exchange, and cultivate a number of new business models to carry out data services. Support the development of basic data processing cloud services such as elastic distributed computing and data storage. Accelerate the development of online machine learning, natural language processing, image understanding, speech recognition, spatial analysis, gene analysis, big data visualization and other data analysis services for big data analysis. Carry out pilot demonstration of third-party data trading platform construction.
（2） Deepen the innovative application of industrial big data
Strengthen the planning and layout of industrial big data infrastructure construction, promote the application of big data in the whole product life cycle and the whole industrial chain, promote the integrated development of industrial big data and automatic control and perception hardware, industrial core software, industrial Internet, industrial cloud and intelligent service platform, form a new model of data driven industrial development, and support the Made in China 2025 strategy, Explore the establishment of industrial big data center.
Accelerate the construction of industrial big data infrastructure. Accelerate the construction of industrial Internet with low latency, high reliability and wide coverage for intelligent manufacturing units, intelligent factories and Internet of Things applications, and improve the service capacity of industrial network infrastructure. Accelerate the deployment and application of industrial sensors, radio frequency identification (RFID), optical communication devices and other data acquisition equipment, promote the construction of industrial Internet of Things standard system, promote the upgrading and transformation of industrial control system, gather multi-source data such as sensing, control, management, and operation, and improve the networking, digitization, and intelligence level of products, equipment, and enterprises.
Promote the whole process application of industrial big data. Support the construction of industrial big data platform, promote the application of big data in all aspects of key industrial fields, improve the level of in-depth integration and development of informatization and industrialization, and boost industrial transformation and upgrading. Strengthen the application ability of R&D and design big data, use big data to accurately perceive user needs, promote innovative design based on data and knowledge, and improve R&D efficiency. Accelerate the application of big data in production and manufacturing, optimize assembly line operations through big data monitoring, strengthen fault prediction and health management, optimize product quality, and reduce energy consumption. Improve the application level of business management big data, improve the business integration level of key business links such as human resources, finance, production and manufacturing, and procurement, improve the management efficiency and decision-making level, and realize the intellectualization of business activities. Promote the deep application of customer service big data, and promote the innovative application of big data in pre-sales, sales and after-sales services. Promote the integration of data resources, open up the data chain of all links, and form a data closed-loop of the whole process.
Cultivate a new data-driven manufacturing model. Deepen the integrated development of the manufacturing industry and the Internet, adhere to innovation driven, accelerate the in-depth integration and application of industrial big data and emerging technologies such as the Internet of Things, cloud computing, and information physical systems in the manufacturing industry, build a "mass entrepreneurship and innovation" platform for manufacturing enterprises' big data, and cultivate new technologies, new formats, and new models. Use big data to promote "specialized, special and new" SMEs to participate in the industrial chain, connect with Made in China 2025 and civil military integration projects, and promote collaborative design and manufacturing. Vigorously develop personalized customization based on big data, promote the development of customer to factory (C2M) and other manufacturing modes, and improve the intelligence and flexibility of manufacturing process. Use big data to accelerate the development of manufacturing as a service model, and promote the transformation from productive manufacturing to service-oriented manufacturing.
Column 3: Industrial Big Data Innovation and Development Project
Strengthen the R&D and application of key technologies of industrial big data. Accelerate the application of key technologies such as big data acquisition, storage, analysis, mining and application in the industrial field, focus on the research of industrial control systems such as programmable logic controllers, high-throughput computing engines, data acquisition and monitoring, develop new industrial big data analysis and modeling tools, and carry out the collection, publicity and promotion of excellent industrial big data products, services and application cases.
Build a public service platform for industrial big data and improve the ability of SMEs to use big data. Support the construction of industrial big data service platform for small and medium-sized enterprises in typical industries, realize the sharing and exchange of industrial data resources, dynamic monitoring, prediction and early warning of products, markets and economic operation, and improve the service capacity for small and medium-sized enterprises.
Big data platform construction and application demonstration in key fields. Support the development and application demonstration of industrial big data platforms for discrete manufacturing enterprises such as aerospace equipment, marine engineering equipment and high-tech ships, advanced rail transit equipment, energy-saving and new energy vehicles, and process manufacturing enterprises such as petroleum, chemical, and electric power, integrate the group's data resources, and improve the group's collaborative research and development capabilities and centralized control level.
Explore the innovation mode of industrial big data. Support the construction of a number of industrial big data innovation centers, promote enterprises, universities and scientific research institutes to jointly explore new models and mechanisms of industrial big data innovation, promote the breakthrough of industrial big data core technology, the establishment of industrial standards, application demonstration and promotion, and the cultivation and introduction of professional talents, and promote the transformation of research achievements.
（3） Promote industry big data Application development
Strengthen the in-depth application of big data in key industries, promote the integration and innovation of cross industry big data, improve the application ability of big data in government governance and livelihood services, and promote the integration and development of big data and various industries.
Promote the application of big data in key industries. Promote the application of big data in the fields of telecommunications, energy, finance, commerce, agriculture, food, cultural creativity, public security and other industries, promote the collection, integration, sharing and utilization of industrial data resources, fully release the role of big data in the transformation of industrial development, and accelerate the transformation of traditional business management methods Service model and business model innovation and industrial value chain system reconstruction.
Promote cross industry big data integration and innovation. Break down institutional and institutional barriers, open up data islands, innovate cooperation models, and foster new business formats of cross integrated big data applications. Support telecommunications, the Internet, industry, finance, health, transportation and other fields with a good information foundation to take the lead in developing cross domain and cross industry big data applications, and cultivate new big data application models. Support big data related enterprises to strengthen technology and resource docking with traditional industries, jointly explore diversified cooperative operation modes, and promote big data integration and application.
Strengthen social governance and public service big data applications. Guided by the needs of people's livelihood, taking e-government and smart city construction as the starting point, and taking data centralization and sharing as the approach, we will promote the construction of a national integrated big data center, promote technology integration, business integration, and data integration, and achieve collaborative management and services across levels, regions, systems, departments, and businesses. Promote the application of big data in government affairs, transportation, education, health, social security, employment and other livelihood fields, explore the data governance model of public participation, improve social governance and urban management capabilities, and provide intelligent, accurate, efficient and convenient public services for the masses. Promote the application of big data in the field of market subject supervision and service, build a big data based operation analysis service platform for key industries, strengthen the monitoring of economic operation of key industries and key enterprises, and improve the timeliness, accuracy and foresight of industry operation supervision and service. Promote the integration of government data and enterprise data, and provide strong support for enterprise innovation and development and social governance.
Column 4: Cross industry big data application promotion project
Carry out cross industry big data pilot demonstration. Select key industries with rich data resources, good informatization foundation and urgent application needs, such as telecommunications, Internet, industry, finance, transportation and health, and build a cross industry and cross domain big data platform. Explore cross industry data integration and sharing mechanism, data sharing scope, data integration and docking standards based on the platform, research and develop data and information system interoperability technology, promote cross industry data resource integration and agglomeration, carry out cross industry big data applications, and select fields with wide application scope and good application effect to carry out pilot demonstration.
Establish a cross industry big data promotion organization. Support the establishment of cross sectoral, cross industry and cross regional big data application promotion organizations, jointly carry out research on policies, laws and regulations, technologies and standards, and strengthen cross industry cooperation and exchange of big data.
Build a big data fusion application testbed. Build a cross industry big data fusion application testbed, gather test data, analysis software and modeling tools, and provide an environment for R&D institutions and big data enterprises to carry out cross-border joint R&D.
（4） Accelerate the cultivation of big data industry entities
Guide regional big data development layout, promote innovation and entrepreneurship based on big data, cultivate a batch of big data leading enterprises and innovative SMEs, form multi-level and echelon innovation subjects and reasonable industrial layout, and prosper big data ecology.
Use big data to boost innovation and entrepreneurship. Encourage resource rich and technologically advanced big data leading enterprises to build big data platforms, open platform data, computing capacity, development environment and other basic resources, and reduce innovation and entrepreneurship costs. Large enterprises are encouraged to rely on the Internet "mass entrepreneurship and innovation" platform to provide innovation and entrepreneurship services based on big data. Organize and carry out algorithm competition, application innovation competition, crowdsourcing and crowdfunding and other activities to stimulate innovation and entrepreneurship vitality. Support the deep cooperation between big data enterprises and scientific research institutions, open the channel between scientific and technological innovation and industrialization, and form a data driven scientific research innovation model.
Build a pattern of coordinated development of enterprises. Support leading enterprises to integrate and utilize domestic and foreign technologies, talents, patents and other resources, accelerate big data technology research and development and product innovation, improve the international market share and brand influence of products and services, and form a batch of comprehensive and professional leading enterprises with international competitiveness. We will support SMEs to deepen their efforts in market segmentation, accelerate innovation in service models and business models, and improve their innovation capabilities. Encourage enterprises in all links of the ecological chain to strengthen cooperation, build an industrial ecology of multi-party cooperation, mutual benefit and win-win results, and form a good situation of coordinated development of large, small and medium-sized enterprises.
Optimize the regional layout of big data industry. Guide local governments to combine their own conditions, highlight the advantages of regional characteristics, clarify key development directions, deepen the application of big data, reasonably position, and scientifically plan to form a scientific and orderly industrial division and regional layout. Build a number of national big data comprehensive pilot zones across the country, and carry out systematic exploration and experiments in big data system innovation, public data open sharing, big data innovative application, big data industrial agglomeration, data element circulation, data center integration, big data international exchange and cooperation, so as to accumulate experience for the development and application of big data across the country. Build a number of big data industry clusters in areas with obvious advantages in big data industry characteristics, create a new industrial demonstration base for big data, give play to industrial agglomeration and synergy, and lead the development of big data nationwide. Overall plan the cross regional layout of big data, use big data to promote information sharing, information consumption, resource docking and complementary advantages, and promote the coordinated development of regional economy and society.
Column 5: Big Data Industry Cluster Construction Project
Build a number of big data industry clusters. Support local governments to create a number of big data industrial clusters and form a number of big data new industrial demonstration bases based on their own characteristics and industrial base, highlight their advantages, and reasonably position themselves. Strengthen the overall integration of infrastructure, boost big data innovation and entrepreneurship, cultivate big data backbone enterprises and small and medium-sized enterprises, strengthen services and applications, improve supporting measures, and build a good industrial ecology. Actively innovate in big data technology research and development, industry application, education and training, policy guarantee and other aspects, cultivate and strengthen the big data industry, drive regional economic and social transformation and development, and form a scientific and orderly industrial division and regional layout. Establish a cluster evaluation index system and carry out regular evaluation.
（5） Promote the construction of big data standard system
Strengthen the top design of big data standardization, gradually improve the standard system, and give play to the important supporting role of standardization for industrial development.
Accelerate the development and promotion of key big data standards. In combination with the development needs of big data industry, establish and continuously improve the big data standard system covering foundation, data, technology, platform/tools, management, security and application. Accelerate the development of basic general national standards and industrial standards in key application fields. Select key industries, fields and regions to carry out standard test verification and pilot demonstration, and strengthen publicity and implementation. Establish a standard compliance evaluation system, and strengthen the supporting role of standards in market cultivation, service capability improvement and industry management. Strengthen the connection and matching between national standards, industrial standards, group standards and other standards.
Actively participate in big data international standardization. Strengthen the exchange and cooperation between China's Big Data Standardization Organization and relevant international organizations. Organize resources for production, education, research and utilization in China, and accelerate the promotion of international standard proposals. Support relevant units to participate in international standardization work and assume relevant positions, undertake international standardization activities, and expand international influence.
Special Column 6: Demonstration Project of Key Standard Development and Application of Big Data
Accelerate the development of key national standards. Focusing on the major needs of big data standardization, we developed basic general standards such as data resource classification, open sharing, trading, identification, statistics, product evaluation, data capability, data security, and relevant national standards in key application fields such as industrial big data.
Establish a verification and detection platform. Establish a platform for standard test verification and compliance detection, and focus on the test verification and compliance detection of key standards such as data open sharing, product evaluation, data capability maturity, data quality, and data security.
Carry out standard application demonstration. Priority should be given to supporting the establishment of standard demonstration bases in big data comprehensive pilot areas and big data industrial clusters, and carrying out the application demonstration of key standards.
(VI) Improve big data industry support system
Overall layout of big data infrastructure, construction of big data industry development innovation service platform, establishment of big data statistics and development evaluation system, and creation of a good industrial development environment.
Rationally layout big data infrastructure construction. Guide local governments and relevant enterprises to plan the construction of data centers as a whole, make full use of the existing data center resources of the government and society, integrate and transform decentralized data centers with small scale, low efficiency and high energy consumption, and avoid waste of resources and space. Encourage the wide promotion of low-carbon environmental protection methods such as renewable energy and waste equipment recycling in the construction of big data infrastructure, and guide the development of big data infrastructure system towards green intensive, rational layout, moderate scale, and high-speed interconnection. Accelerate the construction and upgrading of network infrastructure, optimize the network structure, and improve the quality of connectivity.
Build a public service platform for big data industry development. Make full use of and integrate existing innovation resources to form a batch of big data testing and certification and public service platforms. Support the establishment of public technology innovation platforms such as big data related open source communities, encourage developers, enterprises, and research institutions to actively participate in big data open source projects, enhance their influence in open source communities, and improve their innovation capabilities.
Establish a big data development evaluation system. Research and establish the big data industry development evaluation system, monitor, analyze and evaluate the construction status, openness and sharing degree, industrial development ability, application level, etc. of big data resources in China and around the country, prepare and release the big data industry development index, and guide and evaluate the development of big data nationwide.
special column seven : Big data public service system construction project
Establish a public service platform for big data industry. Provide policy consultation, common technical support, intellectual property, investment and financing docking, brand promotion, talent training, entrepreneurship incubation and other services to promote the rapid growth of big data enterprises.
Support third-party organizations to establish test and certification platforms. Carry out big data availability, reliability, security, scale and quality testing, evaluation, certification and evaluation services.
Establish big data open source community. With independent innovation technology as the core, incubate and cultivate local big data open source communities and projects, and build big data industrial ecology.
（7） Improve big data security ability
In view of the new situation of network information security, strengthen the research and development of big data security technology products, use big data to improve the security management mechanism, and build a strong big data security guarantee system.
Strengthen the research and development of big data security technology products 。 Focus on the research of unified account, authentication, authorization and audit systems and big data encryption and security level management systems in the big data environment, and break through key technologies such as differential privacy technology, multi-party security computing, data flow monitoring and tracing. Promote big data protection technologies such as anti disclosure, anti theft and anonymization, and develop big data security protection products and solutions. Strengthen the research and development and industrialization of big data security support technologies such as cloud platform virtual machine security technology, virtualization network security technology, cloud security audit technology, cloud platform security unified management technology, and strengthen the vulnerability mining and reinforcement of cloud computing and big data basic software systems.
Improve the ability of big data to support network information security. Comprehensively use multi-source data, strengthen big data mining and analysis, and enhance network information security risk perception, early warning and handling capabilities. Strengthen the research and development of new information security products based on big data, promote the application of big data technology in the security protection of key information infrastructure, and ensure the security of important information systems such as finance, energy, power, communication, transportation, etc. Build a big data platform for network information security situational awareness and a security monitoring and early warning platform for the national industrial control system, promote the collection and sharing of network information security threat data, and establish a unified, efficient, collaborative network security risk reporting, intelligence sharing, research, judgment and disposal system.
Special Column 8: Big Data Security Project
Carry out research, development and application demonstration of big data security products. Support relevant enterprises and scientific research institutes to carry out big data life-cycle security research, research and develop new security technologies such as reliable data sources, multi-source fusion security data analysis, and promote the development and application of new security products such as data security situational awareness, security event early warning and prediction.
Support the construction of a batch of big data security attack and defense simulation laboratories. Research and establish a simulation environment integrating software and hardware, support industry, energy, finance, telecommunications, Internet and other key industries to carry out data intrusion, anti intrusion and network attack and defense drills, and improve the level of data security protection and emergency response capabilities.
5、 Safeguard measures
(I) Promote system and mechanism innovation
Under the system of inter ministerial joint meeting to promote big data development, we should establish and improve the coordination mechanism of big data development linked by the central and local governments, form a benign pattern of application driven industry and industry supported application, and promote the development of big data industry and application in coordination. Strengthen resource sharing, communication and collaboration, coordinate the formulation of policies, measures and action plans, and solve major problems in the development of big data industry. Establish a ministerial and provincial coordination mechanism for big data development, strengthen the convergence of policies, measures, planning and other policies related to local and central big data industries, and promote interregional big data policy coordination through joint industrial planning and other measures. Organize the evaluation and inspection of big data development to ensure the orderly progress of key work. Give full play to the role of local government big data development coordination organization or coordination mechanism, incorporate the development of big data industry into the regional economic and social development plan, and strengthen the organizational guarantee of big data industry development.
（2） Improve relevant policies and regulations system
Promote the formulation of institutional documents for the protection and opening of public information resources, as well as government information resource management measures, gradually expand the scope of open data, and improve the quality of open data. Strengthen data overall management and industry self-discipline, strengthen big data intellectual property protection, and encourage enterprises to set up special data protection positions. Research and formulate data circulation trading rules, promote risk assessment in the circulation link, explore the establishment of information disclosure system, support third-party institutions to supervise and audit data compliance applications, and protect the legitimate rights and interests of relevant subjects. We will promote the improvement of personal information protection legislation, establish a personal information disclosure reporting system, improve security protection measures and related management mechanisms for network data and user information, such as anti disclosure, anti tampering, and data backup, and strengthen the management and punishment of data abuse, violations of personal privacy, and other acts. Strengthen the security protection of key information infrastructure, promote the establishment of a legal system and management mechanism for cross-border data flow, and strengthen the management of cross-border flow of important sensitive data. Promote the legislative process related to big data, support local governments to take the lead, study and formulate local laws and regulations related to big data.
（3） Increase policy support
In combination with such strategic documents as the Action Plan for Promoting Big Data Development, Made in China 2025, the "Internet+" action plan, and the decision to cultivate and develop strategic emerging industries, we formulated policies and measures for the development of big data industries, such as finance and government procurement, and implemented relevant tax policies. Give full play to the role of fund support policies of national science and technology plans (special projects, funds, etc.), encourage qualified places to set up special funds for big data development, and support the development of big data basic technologies, key products, services, and applications. Encourage industrial investment institutions and guarantee institutions to increase their support for big data enterprises, guide financial institutions to give priority to credit support for big data projects with advanced technology, strong driving force and broad benefits, encourage big data enterprises to enter the capital market for financing, and create a more relaxed market environment for enterprise restructuring and purchase. Support eligible big data enterprises to enjoy corresponding preferential policies.
（4） Build a multi-level talent team
Establish a talent training and evaluation mechanism to meet the needs of big data development. Strengthen big data talent training, integrate university, enterprise and social resources, promote the establishment of innovative talent training mode, and establish a sound multi-level and multi type big data talent training system. Encourage colleges and universities to explore the establishment of a mechanism to cultivate professional talents and cross-border talents in the field of big data. Support universities and enterprises to jointly establish an internship training mechanism and strengthen the cultivation of professional practical skills of big data talents. Encourage enterprises to carry out big data skills training for in-service personnel, and actively cultivate innovative talents in big data technology and application. Rely on social education resources, carry out big data knowledge popularization and education training to improve the overall social cognition and application level. Encourage industry organizations to explore the establishment of big data talent capability evaluation system. Improve supporting measures, cultivate innovative leading talents in big data field, and attract high-level talents from overseas big data to work and start businesses in China.
（5） Promote international development
In accordance with the overall requirements of building a network power, in combination with the "Belt and Road" and other major national strategies, we will accelerate the development of international markets, export advantageous technologies and services, and form a batch of big data enterprises and products with international competitiveness. Make full use of international cooperation and exchange mechanisms and platforms to strengthen exchanges and cooperation in big data key technology research, product research and development, data open sharing, standards and norms, personnel training and other aspects. Adhere to the principle of network sovereignty, actively participate in the construction of international rule systems such as data security and cross-border data flow, promote openness and cooperation, and build a good order.
