Big data craze continues to rise, tapping potential and releasing dividends is the focus

China is a veritable "data power" and "network power", but there is still a long way to go to truly become a "data power" and a "network power". At present, my country is at a critical stage of the intersection of industrial economy and information economy. Big data is promoting the birth of new blue oceans and new economic growth points. However, how to use data to truly lead the flow of technology, capital and talents, and achieve better network sharing, intensive integration and efficient utilization requires joint efforts from all walks of life to propose a Chinese solution.

The big data craze continues to rise. The focus is on tapping potential and releasing dividends

In order to further develop the potential of data elements, fully release data dividends, and stimulate technology dividends, institutional dividends and innovation dividends, the 2016 Sixth Big Data World Forum was held in Beijing recently. Shan Zhiguang, Secretary-General of the Information Research Department of the National Information Center and the Office of the National Inter-Ministerial Conference on Promoting the Development of Big Data, believes that the development of big data is an important manifestation of a data power and building a national competitive advantage. The scale, quality and ability of a country to apply data have become a very important part of national competitiveness to a certain extent.

Especially in the 21st century, China is a veritable "data power" and "network power", but there is still a long way to go to truly become a "data power" and a "network power".

Strengthen laws and regulations to promote data sharing and opening up

Shan Zhiguang said that governments and public institutions at all levels in my country have gathered a large amount of data resources with good quality, fast growth and close relationship with the public. In addition to some sharing for personal use and information disclosure, most of them have not fully played the role of data sources as "production factors, intangible assets and social wealth". The reasons are mainly manifested in three aspects:

First, unwillingness to share and open up. On the one hand, it is a problem of cognition. Some government departments and public institutions have not realized the value of data sharing and opening up. On the other hand, it is a problem of interest distribution. Some government departments and public institutions regard the data they control and obtain as part of their own interests and power, and even regard them as private property and are unwilling to share and open up, making it difficult to achieve data sharing and opening up between different institutions or even between different departments of the same institution. In addition, my country's laws, regulations, and institutional standards for data openness are relatively backward, and there is no rigid constraint on data sharing and opening. Data sharing and opening lack a management system, and there are problems such as unclear value, imperfect market, and insufficient motivation for data sharing and opening.

Second, dare not share and open. This is mainly because my country currently lacks strict laws and regulations to regulate data sharing and opening. Relevant personnel are worried that government data sharing will cause information security problems, data leakage and loss of control, and have a fear of data openness, and dare not share and open the data sources they control to others.

Third, they will not share and open. Government data sharing and opening is a highly specialized work that requires classification, collection and release, and scientific grasp. If government data should be shared and opened but not shared and opened, it will cause a series of problems such as data closure, value loss, and information islands. On the contrary, sharing and opening when it should not be shared or sharing and opening on a large scale when it should not be shared and opened on a large scale may bring greater losses and even endanger national security. At present, my country has not yet issued laws to regulate data sharing, which seriously restricts the development, application, and value release of big data as a basic strategic resource.

Regarding data sharing and opening, many places are still basically taking a wait-and-see attitude, and there are problems with how to quickly match and guarantee systems, norms, and regulations. In addition, the development of big data also has the problem of how various places can truly enter into practice and implement implementation operations.

Understand the concept and build data centers reasonably

The rapid rise of big data has triggered a wave of building data centers in some places. However, when many places talk about the development of big data, they all think that it means building large computer rooms and large cloud computing centers, and they all think that building warehouses is an important task in the development of big data. However, in fact, the real big data is to release the dividends and value of big data, and release its application value in the economy, people's livelihood, and management.

Shan Zhiguang believes that there have been structural contradictions in the construction of data centers, which can be summarized as "three more and three less": first, there are many data centers with small scale and low capacity, and few intensive and green data centers; second, there are many data centers that focus on infrastructure construction, and few that focus on applications and can improve performance services; third, there are many concentrated in developed areas such as Beijing, Shanghai, and Guangzhou, and few that combine climate, energy, geology and other conditions.

In the face of the problems faced by rapid development, Shan Zhiguang believes that the construction of the pilot zone should mainly consider five aspects: First, what aspects of the big data pilot zone mainly carries out experiments, and what institutional innovations and explorations are there. For local governments, how to further innovate service models and improve policies, systems, and institutional mechanisms. Second, how to promote the application of large-scale and wide-ranging big data so that it can truly play its due practical effect. Third, how to strengthen the circulation of data elements in the pilot zone to generate value. Fourth, how to strengthen the coordination of infrastructure. Fifth, how to layout various data centers, cloud computing centers, local governments and some large enterprises, so as to achieve an orderly and scientific development path at the national level.

In short, the big data craze is bringing about a number of data centers and cloud computing centers with unreasonable layouts, high costs, and incomplete optimization. Today's big data development should learn from history and avoid repeating the mistakes of first building indiscriminately and then governing in the process of construction and development.