Big Data national strategy is expected to be put on the agenda

"Economic reference Daily," the latest learned that more than 10 academicians to the high-level proposal, China should develop a large data national strategy, and in the development goals, development principles, key technologies such as the top design. At the same time, the National Development and Reform Commission and the Chinese Academy of Sciences are starting "basic research Data Services platform Application demonstration project." Authorities said the authorities are actively studying the big Data national strategy or will be put on the agenda.


, academician of CAs and academician of Chinese Academy of Engineering, said in an interview with the economic reference newspaper that at the national strategic level of our country, there is not much information on the big data, and I hope the country will develop a national strategy for large data.


a number of academicians suggested that the national strategy for large data to be developed is the top level planning at the national level. Its main contents include: Building large data research platform, integrating innovation resources, implementing "Special Plan", breaking through key technology, constructing large data benign ecological environment, formulating supporting policy, forming industry Alliance, making industry standard, constructing large data industry chain, promoting effective grafting of innovation chain and industry chain.


, a member of the Chinese Academy of Engineering, said in a report on the national Strategy for the implementation of large data: "Although we are aware of the importance of large data, but not in the real sense of elevating it to a national strategic level, we urgently need to develop large data development plans at the national level, Increase the big data into a national strategy. ”


The study says it is important to "define the development priorities of the big data industry through strategic planning at the national level, spatial layout and safeguards to promote and improve collection, storage and analysis tools and technologies related to large data, and to conduct large data application demonstrations in public service areas such as security, health, health, education, etc. Improve the ability of emergency handling and security, improve service ability and operational efficiency. ”


reporter learned from the National Development and Reform Commission, recently, the National Development and Reform Commission and the Chinese Academy of Sciences are promoting the national High-tech services research and development and industrialization of special "basic research data Service Platform Application Model" project.


National Development and Reform Commission high-Tech Industry department concerned Personage said: "We will rely on new ways, new ideas, new technologies for large data mining applications, to help science and technology, economic and social development; in the hope of combining the advantages and characteristics of the relevant national research institutions, we can explore the potential development prospects and benefits of large data, Support the integration innovation and the thought collision in the related field. ”


Li Jianhui, director of the Science Data center of the Chinese Academy of Sciences, said, "At present we are studying the basic research of large data acquisition, organization and Management, Association and Discovery, analysis and visualization," the next stage will be the study of large data collaborative innovation, research model change, service model, industrialization exploration, Personnel training and so on. ”


, deputy director of High-tech Division, said: "The current global access to the information age, the depth of data analysis and utilization will promote sustained economic growth, enhance the competitiveness of enterprises play an important role." ”


according to the ID C (International Data Company) monitoring statistics, 2011 Total global Data has reached 1.8ZB (1ZB equals 1 trillion g b,1.8zb is also equivalent to 1.8 billion 1T B mobile hard disk storage), and this value is doubling every two years, the speed of growth, It is expected that by 2020 the world will have a total of 35ZB of data volume, growth of nearly 20 times times. Wikibon, an Open-source analysis agency, predicts that global data companies will have a revenue of $5 billion trillion in 2012, with a growth rate of 58% for the next 5 years and $50 billion in 2017.


according to authoritative experts, in the relevant departments on the basis of consultation, with the approval of the State Council, in the future or the introduction of a national science and technology and industry special to guide and support large data research and industrial development.


This special includes the development goals of large data, development principles and key tasks. The academician suggested that the development goal of China's big data is to realize the technological innovation of large data industry and the overall quality benefit of the industry, improve the application level and promote the economic and social development in "Twelve-Five" period and the next ten years. The development principle is, the market leads, the innovation development, the application traction, the fusion development.

The key tasks of
are three aspects, such as layout-critical technology, promoting demonstration application and perfecting supporting policy. First, the layout of key technology research and development innovation. First, the data analysis technology as the core, to strengthen the artificial intelligence, business intelligence, machine learning, and other fields of theoretical research and technology research and Development, tamping the foundation for growth. The second is to speed up the construction of unstructured data processing technology, relational database management technology, visualization technology and other basic technology research and development, and promote the cloud computing, IoT, mobile Internet and other technology integration, to form a more mature and feasible solutions. The third is for large data application, strengthens the webpage search technology, the Knowledge Computation (search) technology, the Knowledge base technology and so on core technology research and development, develops the high quality individual technical product, and unifies with the data processing technology, provides the technical system support for the realization Business intelligence service.


Second, accelerate the demonstration application. First, the energy, finance, telecommunications and other industries, to guide the participation of enterprises, the development of data monitoring, business decision-making, data analysis, such as software and hardware integration of the industry application solutions; second, facing the urbanization construction and people's livelihood demand, speeding up the application of large data in urban construction and life service Continuously improve the digital content processing software and other service development level. Third, to promote the industry data processing services. Vigorously develop the in-depth processing of the industry database, the High-tech field of data processing, the establishment of a special database based on different industries, providing content value-added services. Four is to promote the government and large-scale public information service platform construction. The development and use of Cross-sectoral Government information platform to improve administrative efficiency and reduce government operating costs. The Government information platform is used to improve the scientificity and accuracy of government decision making, and to improve the government's ability of predicting early warning and emergency response.


Finally, to improve the support policy and encourage private investment. One is to increase financial input. To increase the investment of the central budget and the special funds of the central financial information technology to the large data industry, arrange the state-owned capital operation budget expenditure to support key enterprises to implement large data projects. Second, expand investment and financing channels. Actively innovate financial products and services to support the transformation and industrialization of large data results. Encourage and guide private investment and foreign capital into large data fields.