Shulou(Shulou.com)06/01 Report--

With the in-depth development of the information society, the value of data and information as strategic resources is increasing rapidly. Management guru Tom Peters pointed out as early as 2001: "if an organization does not realize that managing data and information is as important as managing tangible assets, it will not survive in the new economic era." At present, the strategic value of data has been widely valued, and the ability of data governance has become an important index to measure the level of economic and social development of a region. At the same time, it is the biggest challenge to strengthen the standardization research of data gene code and data flow logic rules, establish data value and quickly improve the ability of data governance.

1. The level of standardization determines the value of data

At present, China is vigorously promoting the modernization of national governance system and governance capacity, and data governance has been highly valued as a new research topic in the national social system. Due to insufficient research and understanding of data governance system and data value development system, we have only issued some policy documents in government data resource management and the development and utilization of big data. Various industries are also trying to do some applications in big data, but this has not really extended to the framework of data governance, and naturally can not promote the effective development of data value. In fact, only by strengthening the construction of data standardization and creating a set of data governance system, can we really enter the era of data and business intelligence.

Data governance is a set of continuously optimized and perfect management mechanism, which mainly includes organizational structure, policy system, technical tools, standard system, operation flow, supervision and assessment and so on. As a long-term and systematic work, data governance needs to be promoted synchronously in all aspects, otherwise there will be defects in the governance process and reduce the level of data governance. In particular, the data standard system, as the core technical specification, is the key link to determine the level of data governance. Only standardization can truly achieve efficient data flow and development and utilization. On the contrary, without the standardization of data, data governance will be out of the question.

2. The characteristics of data standardization.

Data standardization has been accompanied by the development of economy and society, and all levels of various industries are also facing the problem of data standardization. Data standardization is a process in which the government, enterprises or organizations standardize the definition, organization, supervision and protection of data. In the current urban big data application, the core of data standardization is the establishment of institutional norms and the unified definition of data metadata and metadata. Before data collection, storage, analysis and application, we usually need to standardize the data, so that the standardized data is more valuable for development and utilization. At the same time, data standardization is a complex and huge project, which needs to recognize its own characteristics in order to effectively promote the work of data standardization.

First, data standardization has long-term characteristics, which can not be completed overnight, especially it is very difficult to standardize existing data resources, which requires psychological preparation for lasting operations.

Second, scientific characteristics, data standardization needs to combine theory with practice, needs to serve specific business, can not be standardized at will, and should be promoted scientifically.

The third complexity feature, at present, different departments and industries have a large number of application systems, data types, ways of existence and other differences, the process of standardization will be very complex.

Fourth, with the characteristics of urgency, data standardization has become the key to affect the efficient operation of economy and society, so it is very urgent to break the isolated island of information and realize interconnection.

Fifth, the characteristics of the system, data standardization involves national policies and systems, standards and norms, safety management and other aspects, which need to be considered as a whole and promoted systematically.

3. The value of data standardization

Data standardization refers to the organic whole formed according to certain norms and logical planning, which is the basis of data governance and aims to maximize the value of data. The standardization of data is a unified process of standardization and mode, including the standardization of management system, evaluation system, technical tools, data elements and so on. Through the implementation of data standardization, we can further promote the standardization of management and the precision of application, and give full play to big data's value in government services, public management, market supervision, environmental governance and so on.

In view of the current situation of urban data governance in China, the specific value of data standardization will be reflected in the following aspects:

First, through data standardization to truly achieve interconnection and information flow, further promote the efficient flow of logistics, people flow, capital flow, and form a new resource system with information resources as the core.

Second, realize the value development of information resources through data standardization, give full play to the linkage effect and multiplier effect brought by the underlying and basic data standardization, and promote the scale and value of data mining.

Third, improve the efficiency of operation and management through data standardization, including data management, development and utilization and related services, to further improve the efficiency of government services and urban operation.

Fourth, through data standardization can reduce construction and operating costs, including hardware configuration, software development, operation and maintenance and personnel training and other aspects, but also save a lot of management costs, so that construction and operation standardization and simplification.

4. the strategy of promoting data standardization.

According to the role of the government in data governance, combined with the management methods of national government information resources and the actual situation of data development and utilization, data standardization should focus on the standardization of urban data center construction and operation and maintenance management. introduce standardization means in a planned, step-by-step and hierarchical manner, implement standardization strategy, and realize the gradual development of data center to intensive and standardized direction. Finally realize the capitalization, capitalization and value of data resources.

First, establish a data resource management organization, set up the post of data operation officer, change the situation that the traditional data center is mainly supported by technology, and strengthen the unified management, development and utilization of data resources. Organization is not only the guarantee of data governance, but also the key to promote data standardization, otherwise data standardization will be difficult.

Second, according to the national standards and norms in cloud computing centers, information services, information security and other aspects, implement the standardized construction and management of data centers. Event management, problem management, configuration management and security management system are introduced to ensure the software and hardware construction and security operation of the data center.

Third, promote the combination of theory and practice, by constantly summing up practical experience, and then upgrade to national or industry data standards. At present, the work of data standardization has just begun, but the exploration of local data standardization is very important. Through the comprehensive analysis of a large number of practical experience and optimizing the data standards, it can reduce the cost and improve the efficiency.

Fourth, establish the working system of data standardization, strengthen the role of data standardization in the whole data governance system, constantly form the thinking concept of data standardization, and gradually formulate the working norms of data standardization. further guide the construction of data governance system and give full play to the value of data standardization.

Fifth, data standardization should be classified by classification, and the underlying basic data should be strictly standardized to ensure the uniqueness and accuracy of the data. at the same time, it is necessary to speed up the improvement of systematic data definition, data collection, data analysis and data quality management, so as to continuously increase the value of time.

Sixth, data standardization should be promoted as a whole, step by step, strengthen the study of data characteristics and application laws, ensure that the systematic advance is scientific, reasonable and forward-looking, and at the same time define long-term goals and standards through the formulation of plans, formulate effective promotion plans and roadmaps, and realize the data standardization system in a planned, step-by-step and hierarchical manner.

There is a long way to go for data standardization. The above is the experience summary of data resources combing and catalog system construction in various places in recent years, and also the embodiment of the ideas and ideas of data Gene (DNA) system developed by Interconnection. All sectors of society are welcome to participate in the exchange and cooperation of data standardization and make greater contributions to the modernization of data governance in China.

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