Scene big data theory, as one of the independent innovation results of Guizhou’s implementation of big data strategic operations, reveals the inherent connection of data and scenarios, and provides a lively Guizhou experience for building a data basic system and cultivating the data factor market.On the morning of May 25th, the 2023 Digital Expo “Scenario Data” theory and practice seminar with the theme of “Fresh Data Resources” ended successfully at the Guiyang International Ecological Conference Center.
The seminar was jointly sponsored by the Institute of Economics, Technology and Economics, the Institute of Economics, China, the Informatization Research Center of the Chinese Academy of Social Sciences, the Guizhou Provincial Big Data Development Administration, the Guizhou Academy of Social Sciences, and the People’s Government of Anshun City.Hosted by the Municipal People’s Government.China Unicom Anshun Branch, Guizhou base for national conditions in the Chinese Academy of Social Sciences, and co -organized by the research team of “Guizhou Cultivation and Extraction of Big Data Industry” in Guizhou Province in 2022 in Guizhou Province.The event invited more than a hundred people including top experts and scholars and scholars in the fields of government and research from all walks of life, the heads of relevant government departments, and representatives of well -known enterprises attended the meeting.
Ran Xia, vice chairman of the Guizhou Provincial Political Consultative Conference, delivered a speech, expressing the importance and support of this forum. She hopes to use the opportunity of this seminar to discuss the useful circulation cycle with the common circulation cycles from all walks of life to deeply dig data value, drive the value of data, drive the driverOptimize the allocation of resources in all aspects, and the efficient release of the value of shared data elements brings a better future that brings a comprehensive and high -quality development of the economy and society.
Li Haiyan, Secretary of the Party Committee of the Institute of Economics and Economics, the Institute of Economics and Economics, Institute of Social Sciences, said in his speech that the scene defines data value creation, the data system construction is highly related to the actual application scenarios, no scenarios, no authorization, no scenes, no circulation, no scenes, no scenes are not pricingThere is no scene and no data.The convening of the “Scene Big Data” theory and practice seminar marks the awareness of traditional big data from the concept of the concept, to practical innovation, and the construction of the theoretical system to make a qualitative leap.
As one of the organizers of the forum, Yang Changpeng, secretary of the Anshun Municipal Party Committee, thanked the guests at the beginning of the forum and expressed his expectations.He introduced that in recent years, Anshun has insisted on using big data scenarios as a driver, data governance and operation as the starting point, innovating the development concept of “giving you a market scene data, realizing your dream of science and technology”, planning and opening up 53This application scenario project, introduce relevant policies and measures, accelerate the construction of major projects, create a digital service platform for “peace -hearted” human resources development and value improvement, and formed a “high -level planning, high -end theoretical research, high -speed industrial growth, high -quality integration and development development”Digital economy development model.At present, Anshun big data has developed rapidly. It has become a new highland for the investment of science and technology people to invest in the industry, the new blessing land that is harvested, and the new world of dreaming and dreaming. Friends from all walks of life are sincerely welcomed to walk into Anshun, inspect Anshun, invest in Anshun, and develop the blue ocean in big data.Among them, join hands to share new opportunities, build new dreams, and win a new future.
Li Gang, deputy director of the Guizhou Provincial Big Data Development Administration, pointed out that in recent years, Guizhou has worked hard to drive big data as a driver, start with several starts, take advantage of the potential, and always adhere to the scene as a traction and data.Scenes, the level of digital government construction ranks 5th in the country.The typical application of well -received, the data value is effectively released, helping the government to govern more scientific, and the people’s data gain is stronger.From the application, the application generates new data.In the future, Guizhou will accelerate the construction of the core hub for the circulation of computing power guarantee bases and national data production factor, promote public data supply, strengthen scenario application innovation, deepen data application innovation mechanism, encourage enterprises to deepen government -enterprise data integration and innovation, form a batch of batchData -driven scenario applications and solutions are built around the fields of inclusive finance, corporate credit reporting, convenient travel, and industrial chain supply chain.Taking the opening of scene application as the traction, a number of standardized data products are developed in key areas such as finance, medical, transportation, power, power, meteorology, labor, and public resource transactions to empower the development of traditional industries.
At the scene, Yang Ping, deputy mayor of the People’s Government of Anshun City, released the “Scene Big Data White Paper 4.0”.It is reported that as early as 2021, in the high -end dialogue of the Dagai Data of the Digital Expo, Guizhou officially proposed the concept of “scene big data” and released a white paper series of scene big data series.Data cross -scenario application releases the explicit law of double value, and a series of theoretical results have been widely recognized by the industry.As one of the typical representatives of many big data independent innovation and practice achievements in Guizhou, the “Scenario Data” theory has established a comprehensive public data service platform to build a base for urban data circulation, promote data assets, factorization and value, and realize the public.The orderly circulation and value release of the cross -venue of data have built a relatively complete public data supply chain system, unblocked the channels of data cross -scene circulation, and formed application practice such as “Anshun City Data Circulation Base” and achieved a series of results to promote to promoteThe industrial linkage and cooperation in the field of large data fields has taken a solid step to promote the healthy development of data elements.
Expert keynote speech, on the new future of data elements
The forum invited academicians and experts to share themes, involving digital infrastructure, cross -border data circulation, data factor market governance, data value and data innovation.
Among them, Mei Hong, an academician of the Chinese Academy of Sciences, made a keynote speech on “Infrastructure of the Digital Economy Era”, and deeply analyzed the digital infrastructure required for the large cycle of data elements under the global perspective.The target is the number of connected concepts of nodes.Mei Hong said that data space is a new form of network space from “calculation as the center” to “data -centered”.It enumerates the further interpretation of relevant typical application cases at home and abroad.
The former director of the China Internet Network Information Center (CNNIC), Li Xiaodong, founder of Fuxi Think Tank, researcher at the Institute of Computing of the Chinese Academy of Sciences, and director of the Internet Governance Research Center of Tsinghua University, interpreted the “Data 20” on the spot.He said that the introduction of “Data 20” is the first time that the country has positioned data as a new type of production factor and promoted the entire data element basis from the top -level design.He proposed that it is necessary to build a data resource system at the basic data level, build data infrastructure through the construction and practice of basic data, the development and implementation of infrastructure, and the implementation of the two “one soft and one hard” to jointly support the development of the data economy.
Hong Yongmiao, an academician of the National Academy of Sciences, gave a keynote speech on “Construction of Cross -border Data Distribution System”, and explained the way of building a data distribution system.He believes that the essence of the globalization of the digital economy is to rely on the vigorous development of digital technologies such as big data, cloud computing, and artificial intelligence, and promote the flow of data globally. Its core feature is that information transmission is both extensive and real -time.Cross -border data circulation will bring a lot of convenience. At the same time, we also need to be alert to the hidden dangers of data security that may bring in cross -border data circulation and the adverse effects of global income distribution pattern.He suggested that data elements global flow means market openness, resource complementary resources, and mutual trust of different subjects. China should further accelerate cross -border data circulation and continue to participate and lead the digital economy globalization.
Wu Dahua, Secretary of the Party Committee and Researcher of the Guizhou Provincial Academy of Social Sciences, made a keynote speech on “Data Election Market Governance of the Law and Promoting the High -quality Development of the Digital Economy”. He emphasized that the behavior specifications of the use of data can not be separated from the scene.He proposed that establishing and improving competitive legal norms related to the data factor market can start from three aspects: one is to establish a new competitive regulatory local system in the data factor market; the other is to strengthen the identification and management of data unfair competition;Regulation and management of data monopoly behavior.
Zhang Xinhong, chief information engineer and researcher of the National Information Center, gave a keynote speech on “Data Value and Data Innovation”. Focusing on data value, data innovation, and data governance, he believes that data value is that the data itself can drive everything to become a reality. Data opening is the realization of data innovation.Breakout, institutional innovation is the key to data governance. Data fusion is the catalyst of data innovation. The value of single data is limited. Data fusion innovation can stimulate new digital species such as technology, products, formats, models, and occupations.
Professional theme discussions, common talks for the large cycle of data resources
At the end of the forum, Li Hai, the secretary of the Party Committee and researcher of the Institute of Economics and Economics, Institute of Social Sciences, presided over the theme seminar.Cao Xiaozhong, deputy director of the China Meteorological Administration and senior engineer, Yang Ping, deputy mayor of the People’s Government of Anshun City, Li Aijun, Dean and Professor of the Internet Finance Law Research Institute of China University of Political Science and Law, Li Aijun, Professor of the Institute of Economics and Economics of the Chinese Academy of Social SciencesPeng Xuyu, director of the Information Technology Research Center of the Chinese Academy of Social Sciences, director of the Informatization Research Center of the Chinese Academy of Social Sciences, Luo Yihong, deputy director of the Institute of Regional Economic Research, Guizhou Academy of Social Sciences, and deputy director of the Guizhou Academy of Social Sciences Big Data Policy and Legal Innovation Research Center, China UnicomSong Yulun, member of the Party Committee of Digital Technology Co., Ltd., senior vice president, Zhang Ye, chairman and general manager of Gaosheng Holdings Co., Ltd., Pi Yu, general manager of Wuhan Da Meng Database Co., Ltd., Tang Hanlin, Chairman of Guizhou Data Bao Network Technology Co., Ltd., Focusing on the theme of “Unblocked Data Resources”, based on the practice of big data in Guizhou scenes as a sample, we discussed the special nature of data elements, data distribution problems, and the practice path of unblocked data resources.Waiting for the topic, look forward to the development trend of the data factor market.
From the characteristics of data, Cao Xiaozhong explained the three history of scene big data.He said that scene big data is a close combination of scenes and data, and the two are inseparable.Scene big data contains small scenarios. Small scenes can converge into large scenarios and big data and iterate.At the same time, the generation of data has the characteristics of “one count of power”. The circulation of data is different from the circulation of traditional commercial products, and it is difficult to monopolize.
Yang Ping proposed that the problem of “dare not, no, not in use” in the process of authorization development and utilization of public data is to be solved.Legality and credibility.The core of authorization is to ensure that the authorization mechanism can provide the guarantee of the rights and interests of data suppliers, thereby avoiding legal risks.
Li Aijun believes that the particularity of data elements determines its future protection method.From the level of law, rising into equity protection or behavioral specifications remains to be discussed. From the physical form of data, the data is intangible, and the characteristics of the data itself cannot be used by traditional property rights and intellectual property rights.It also has some characteristics of intellectual property rights, and also has its own unique value play.Therefore, if you want to circulate and give full play to the value of data elements, you must talk about belonging.
Peng Xuzhen pointed out that data and data elements are different.Data is digital information. Data elements must consider technical, economical, and social. Only by allowing data to participate in the process of production and circulation can data become data elements.Data elements have the sharing, and cannot emphasize its ownership and exclusive rights. It must realize its sharing to create the maximum social value.
Luo Yihong pointed out that from the perspective of the transaction, the interior and outside the field are inconsistent. The degree of data standardization on the venue is relatively high, and the flexibility is poor, resulting in not better transactions.The legitimacy of defining data transactions is difficult. Due to the development of the market, the legalization of data trading is relatively lagging. It is more difficult to distinguish whether these data are legal.
Song Yulun combined with China Unicom’s practice to share the experience of realizing data circulation and utilization.He said that data can be visible. Data circulation needs to rely on the experience of storage operations, standardized management systems, and advanced technologies. Based on this, China Unicom has created data platforms to empower data resources and data technology with scenarios.
Zhang Ye said that the scene is the original intention of the data and the starting point of the future. The generation of data comes from the scene, and the data application must rely on the scene.He believes that the data business is inseparable from the following links: First, the distributed storage link, that is, distributed data centers or IDC.The second is that data transactions and applications rely on each scenario. When they generate rich interaction and application with various industries in the society, each interactive scenario and base need a secure, stable and efficient network support.The third is the computing power network, which is not only the core network of East Digital and West, but also a base support for digital transactions.Fourth, the basis of AI, AI is computing power networks and data. As long as you have enough computing power, excellent computing power network support and data, you will form excellent AI applications.
Pi Yu summarizes the experience of Dream Database Database Data Governance Project, and believes that data elements circulation is based on many specific scenarios, such as smart transportation, smart medical care, etc., but many departments cannot get data in the practice process.Most of the data are stored in Internet companies and government departments. Government departments have a lot of data and are the largest groups owned by data value.The security protection method of data circulation is the first to be open, and data is not your private property rights.
Tang Hanlin said that data circulation is a circulation data product.Data Bao Chuangxin’s new “Four Four” construction, that is, intelligent data governance, productization productization, commercialization of scenarios, and compliance of circulation transactions.We don’t talk about data property rights, and we talk about the property rights of data products.The property rights of data products have been affirmed in the “separation of three powers”, that is, data holding rights, product processing rights, and product operation rights.
