National strategic support for digging bokhary data

A big data age of exploding data is on the rise.

From the beginning of human civilization to the 2003, mankind created a total of 5 trillion bytes of information. Today, the amount of data can be created in two days, and the speed is still accelerating. Data show that the total amount of data created and replicated globally in 2011 amounted to 1.8ZB (1ZB equals 10 of 21 bits).

The rapid expansion of data has brought humanity into a new era of large data. In this era, data is considered the most important and critical asset of the 21st century. 2012, the United States Government allocated 200 million U.S. dollars to launch the "Big Data Research and Development initiative" program. This is the 1993 United States announced the "Information superhighway" plan after another major technology strategic deployment. The U.S. government sees big data as "the new oil of the future" and will increase research on large data as a national will.

Now, in the big data age, how can our country occupy and use these assets, and the nuggets from these assets?

On the January 19, the "High-level Forum on computer and economic development under the large data background" sponsored by the Center for Virtual economy and data science of the Chinese Academy of Sciences, a number of academicians, scholars and entrepreneurs with large data application experience in the field of large data research are talking about the value of large data application, In view of the challenges in the development and application of large data in China, policy suggestions are put forward.

Large data value geometry?

"Whether it is the overall design of the country, or virtual economy, virtual business development and optimization, are inseparable from a large number of data analysis for support." Cheng, director of the Center for Virtual economy and data science, Chinese Academy of Sciences, deputy chairman of the NPC Standing Committee, said in a speech at the forum. He hoped that large data science, technology, engineering and the country's current urgent need to solve the problem together, so that the application of large data to promote socio-economic development.

Guojie, academician of Chinese Academy of Engineering and dean of computer and Control College of CAs, compares large data to strategic resources as important as natural resources and human resources. He argues that big data is the embodiment of a country's digital sovereignty. "In the big Data age, the national level of competitiveness will be partly reflected in a country with large data size, activity and the interpretation of the data, the ability to use." The data sovereignty of a country in cyberspace will be the space of the game of another great power after sea, land, air and sky. "Guojie said.

Professor Yong, deputy director of the Center for Virtual economy and data science at CAS, argues that the application of large data is to analyze and create value. Under this premise, the government department can use the large data mining result, uses the scientific method to formulate the policy, the enterprise may use the big data to make the profit maximization, the scholar can use the big data to seek the scientific law, supports the social economy development.

In view of the value of large data, Chinese Academy of Engineering, professor of Xi ' an Jiaotong University, Wang Chulo from the perspective of large data industry. He defines the large data industry as a collection of all activities related to large data organization and management, analysis and discovery, and application of services. He argues that large data industries can improve existing organizational performance, this includes promoting the construction of efficient government, providing new impetus for economic development and improving the quality of cultural education; The large data industry can also promote the development and innovation of related industries, such as promoting the innovation of software and hardware, promoting scientific and technological innovation, and creating data service enterprises; Large data industry has great value in social management, intelligent city, financial services, health care, manufacturing, commercial retailing, personal digital life and so on.

A set of data from the McKinsey 2012 large Data report also validates Wang Chulo's view. The data show that the big data industry brings 300 billion dollars a year to the U.S. health care system, a € 250 billion gain for European public administration, a 60% net profit for retail sales, a 50% reduction in manufacturing costs for manufacturers, and the use of personal geographic information, Bring more than 100 billion dollars of revenue to the service provider, bringing more than 700 billion dollars worth to the user.

Big Data challenges

Large data has great application value, but the possession and use of these important assets will also face many challenges and difficulties.

"The lack of strategic concept, the difficulty of coordination of government agencies, the lack of understanding of data sharing and insufficient investment, and the inability of scientists to satisfy large data are the difficulties that large data have to face in our country's development and application." "Yong said.

Guojie The 7 technical challenges of dealing with large data, there are mainly large data redundancy and noise reduction techniques, new representations of large data, high efficiency and low-cost large data storage, efficient integration of large data, efficient processing of unstructured and semi-structured data, and large data mining analysis tools and development environments for different industries. , new technologies to reduce the energy consumption of data processing, storage and communication greatly.

Wang Chulo that the large data industry is facing enormous challenges in many aspects, such as government policies and regulations, technology research and development, management model, personnel training and so on. He believes that in the development of large data industry, the quality of data is also a major obstacle and should not be overlooked. "Data quality is the foundation of this building in the big data industry." If the data quality is low and the foundation is shaky, the big data industry could be in jeopardy, or even impossible to develop. "he said.

According to Wang Chulo, in 2011, the International Standards Organization (ISO) specifically developed the ISO8000 data quality standards. At present, more than 20 developed countries have been involved in the ISO8000 standard. China started late in the field of data quality, the gap with developed countries is still very large, in the ISO8000 data quality standards for the formulation and so on have no right to speak.

Big data development strategy needs to rise to national level

It was the consensus of the participants that the big data development strategy should be raised to the national level.

While large numbers mean big opportunities, they also mean big challenges in engineering, management policies, and talent development. Only by solving these basic challenges, can we make full use of this great opportunity and get the value of large data.

"China urgently needs to pay great attention to the large data in the country, especially from policy making, resource input, talent training and so on. On the other hand, the establishment of benign large data ecological environment is the only way to deal with the challenge of big data effectively, and it needs the scientific technology, Industry and government departments work together under the guidance of national policies to establish a harmonious large data ecosystem by removing barriers, forming alliances and establishing professional organizations. "Guojie said.

Wang Chulo also believes that a large data industry development strategy should be developed at the national level to guide its development. At the same time, we must set up a group of research centers and bases in the country to carry out in-depth research and development of large data industry. In addition, he suggested that our country need to rapidly launch relevant research in the field of data quality to gain a place in international data quality research and standard ISO8000, and improve data quality by establishing large data quality standards, developing "sharp eyes" and "viral vaccines" to identify the authenticity of data.

Yong suggested that the data of government departments should be open to society under the protection of large data national strategies and laws, thus promoting enterprise development and promoting technological innovation.

(Responsible editor: The good of the Legacy)