Since the rise of big data into a national strategy, the big data industry and applications have developed rapidly, but there are still some gaps in the higher requirements for the construction of digital China and smart society. Although China's big data industry has accelerated its development, there are still industries Problems such as uneven development, low data openness, increasingly prominent security risks, and lagging technological application innovations, etc.
1. The development of the industry is uneven
China's big data is still in its initial development stage, and industry standards and management mechanisms are not yet mature. Under the general environment of "mass entrepreneurship and innovation", a large number of big data companies continue to emerge, and many companies take advantage of the big data concept boom to speculate, industry development Good and bad.
2. Low data openness
First of all, our government has a large amount of data. As a collector, manager and owner of government information, the government has information advantages. However, due to the limitations of information technology and the system of fragmentation, the information network between several departments at various levels of government is often self-contained, and the division of departments is serious. It is difficult for data between each other to achieve interconnection, data opening, information sharing and Business collaboration.
Second, there is a lack of a unified data open platform. China's government data resources are mostly divided and managed according to regions or departments. Different regions and departments have the problems of reluctance to open sharing, dare not to open sharing, and open sharing, forming artificial data sharing barriers, resulting in the inability to efficiently obtain and directly use Data has increased the difficulty of government big data development.
Third, the cross-department, cross-region, cross-layer, and cross-system data sharing, openness, and business collaboration laws and regulations are not perfect, the process is not standardized, the responsibility subject is not clear, and the definition and public scope standards of public resources lack practicality. Failure to achieve true openness of data.
3. Security risks are increasingly prominent
With the rapid development of next-generation information technologies such as cloud computing, Internet of Things and mobile Internet, the scale of big data applications is expanding. There are hidden security risks in data collection, storage, open sharing, etc., data privacy management regulations are not perfect, and data property rights The legislation of China is lagging behind, and the lack of systems, norms and standards to promote data exchange and sharing among various departments has resulted in citizens ’privacy not being legally protected. At the same time, the privacy data of social networking sites may also be used by unscrupulous merchants, etc., all of which bring data security A huge challenge.
4. Technology application innovation lags behind
Although China's big data industry is at the same pace as the development of international big data, there is still a gap in technology and application lag, and there is still a big gap with foreign countries in terms of new computing platforms, distributed computing architecture, big data processing, analysis and presentation , Weak influence on open source technologies and related ecosystems.
To use big data to promote the construction of digital China and smart society, we should proceed from the development needs, strengthen the top-level planning and government guidance of the development of the big data industry, increase support in technology, standards, policies, etc., and make the data industry bigger and stronger. Give full play to the important role of data resources.
