Government Big Data Sharing Platform Status, Problems and Countermeasures
The development of information technology has brought tremendous changes to the way people live, work and study. The Internet, the Internet of Things, cloud computing, and artificial intelligence have gradually integrated into all aspects of our work and life. Simultaneously with this, global data resources have exploded. According to the monitoring data of International Data Corporation (IDC), 2016 and 2017 The global data storage volume in 2018 is 16.1ZB, 21.6 ZB, and 33.0 ZB, and it is expected that the global large data storage volume will also maintain a growth rate of about 40% in the next few years. As the world ’s second largest economy, China ’s average annual data generation growth rate is 3% faster than the global average. It is expected that China will become the world ’s largest data producer by 2025.
As an important part of the economy and society, the government has mastered the largest and most core data resources in society. In the era of big data, fully mining the value laws in data is of great significance for the government to improve the level of social governance and government management capabilities. The scope of government big data is very wide, such as transportation, residential services, consumer finance, population mobility, food and drug supervision, infrastructure, fiscal taxation, etc. By extracting the potential data values, government departments can understand the current people What is the focus of attention, what is the direction of public opinion, and whether guidance measures should be taken; during the tourist season, whether the crowds around the attractions are already overloaded and whether the flow should be restricted; when the enterprise frequently encounters abnormal funding, relevant departments can take measures in a timely manner Respond and reduce financial risks.
Big data will increase the efficiency of government affairs and social governance. The inclusiveness of big data itself will also break the opacity between various departments, the government and the masses, and make data sharing possible. Obama said that the more people know, the more trustworthy government officials may be. Western government functions and many behaviors are exposed to the sun. Officials know that their words and deeds are under the supervision of the people at all times, and they may be more strict with themselves. This is worthwhile in our own government management and official behavior management. Borrowed.
The application of big data built on the information platform can help the government establish communication with the masses in a scientific way, analyze the information data obtained in real-time channels in various fields, predict the development trend of an event, and then make scientific and accurate behavioral decisions , Improving the government's emergency response capabilities. The collection and integration of big data will accelerate the optimization of government functions and work processes, break through the barriers between government departments and departments, and between the government and the masses, establish a new government work supervision mechanism, and help the government to promote "Internet + government services", To improve the efficiency of serving the people, the above contents are clearly indicated in the "Outline of Action for Promoting the Development of Big Data" issued by the State Council. Compared with foreign countries, China ’s government, public utilities, telecommunications, banking and other industries have a serious lack of interaction with external data.
The difficulty in building a government data platform lies not in technology but in business. After combing, it is mainly reflected in the following aspects:
1.Data collection and integration. As the scope of government data is too broad, horizontal and vertical multi-level administrative structures have set up many obstacles for the data platform, and there are many missing data, data errors, and noise in the data stored by the government. And other issues.
2. Unified specification of data format. At present, most data resources lack a uniform standard and have different formats. How to unify the data format and provide API interfaces for developers requires staged work to complete.
3. The size of the data volume varies. Some departments' information systems are built early, and the volume of accumulated historical data is relatively large. Some departments use more paper records, and the data volume will be relatively small. When you need to use data of different volumes in actual work, you need to spend a lot of time for data collation and cleaning, which is also a waste of resources for the already relatively scarce data talents.
4. Openness of data. Government big data is essentially a resource generated by different government agencies when processing affairs. The collection of government big data comes from public financial expenditures. In other words, these data assets belong to society, so open data sharing and enable government processes. Transparency, while enhancing the interaction between the government and the masses, while providing some paid data for professional companies to carry out innovative applications and data value-added development, promote the development of the big data industry, and further connect the government's macro data with micro data. This can draw on the experience of the US government.
5. Big data related laws and regulations are still blank. Today, data has become an intangible asset with attributes. It contains sensitive information about individuals, businesses, cities, and even countries, but the relevant laws and regulations have not yet clearly stated and instructed. On October 51, 2019, the credit card Hangzhou headquarters was investigated. The reason was that without the authorization letter signed with the bank, the use of a web crawler was illegal. A large amount of sensitive information and important data, once used by criminals, will cause great damage to national security and social stability.
Big data is a product of the information revolution, and it is also a trend. We must seize the opportunity and take advantage of the current situation in the torrent of the data era, and strive to adapt government big data to the development and progress of the era. The "Outline of Action for Promoting the Development of Big Data" issued by the State Council in 2015 clearly stated: "By 2020, China will gradually realize credit, transportation, medical care, health, employment, social security, geography, culture, education, science and technology, agriculture, environment, Security supervision, meteorology, enterprise registration and supervision data sets are open, a large data collection and formation mechanism for interaction between the government and society is established, and an open catalog of government data sharing is established. Through the open sharing of government data, guide companies, industry associations, scientific research institutions, social organizations, etc. Proactively collect and open data. "The openness and sharing of data can enable government workers and administrators to improve administrative efficiency, increase satisfaction with mass services, and generate value-added economic benefits. For example, Beijing ’s traffic management department publicly provided information on vehicle violations, which created a The batch of companies that specialize in providing traffic information services not only provided car owners with free information services, they also received objective advertising revenue, and the government increased tax revenue to achieve a win-win situation. As a virtual simulation tool, sand table deduction is convenient for users to set adjustment factors according to their needs, simulate the process of economic operation, and predict the trend development after policy adjustment. After the sand table deduction, the precise adjustment of policy planning and implementation can effectively avoid unnecessary risks and improve the work efficiency of government workers. With the continuous collection and update of data, the accuracy of forecasting and analysis also continues to improve. For government agencies that need to plan and design the area in advance, the economic sandbox is a scientific and efficient tool.
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