Digital city information resource planning method

Abstract

The invention discloses a digital city information resource planning method which comprises the following steps of: firstly, determining a business, wherein departments involved in city information resource construction are determined; secondly, analyzing the business, wherein the businesses of the departments are analyzed; thirdly, analyzing data, wherein the data and data flow direction in the business process are analyzed; fourthly, comprehensively analyzing source point data of the department, and determining shared data; and fifthly, establishing a databank framework of a city information resource center according to the shared data. By utilizing the digital city information resource planning method, a significant basic issue of information resource sharing in digital city and E-government construction is solved, and the digital city information resource planning method has significant guidance and reference values in improvement and promotion of digital city construction and established informatization achievement.

Description

technical field [0001] The invention relates to the technical field of urban informatization construction, in particular to a digital city information resource planning method. Background technique [0002] In the construction of informatization, the current information resource planning theory and method is mainly aimed at a single enterprise or enterprise group, through the analysis of internal business associations and data views of the enterprise, the establishment of an enterprise-level data base table, and the formation of a shared data model of the enterprise. However, in the construction of digital cities and e-government, it is necessary to consider the sharing of data resources across disciplines and industries, which puts forward higher requirements for the depth and breadth of information resource planning. For example, the construction and application of the four basic databases of e-government (population information database, legal entity information database,...

AI Technical Summary

Problems solved by technology

For example, the construction and application of the four basic databases of e-government (population information database, legal entity information database, natural resources and geographic information database, and macroeconomic database) in various places are not ideal, mainly because two problems are difficult to solve: (1) ) Data source point problem, that is, where are the data sources of each library? Where is the data collected from? What data items can be collected at each source point? (2) Business support issues

Who supports the collected data? Which businesses in which departments need the support of which data? Traditional theories and methods cannot solve the above problems

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