Research On The Quality Control Of S Province Organization Code Data

With the rapid development of information technology and the Internet, as a special kind of data, electronic products have been widely applied to various fields of society. Organization code is to give each a legally registered organization established or approved nine lifelong unchanging meaning no code, organization code data record the basic information of the organization. Since the data is different from traditional physical presence in the form of products, not the same as it appears in the new issue of quality control. Especially at the national level has the organization code data as a basis for the establishment of a unified code of social credit system, data quality has become the lifeblood of the organization code development work, and how to provide qualified data information into a unified code of social credit system, to reduce the problem of data to promote the healthy development of social credit system, data quality control has become the focus of the work. Factors affecting the quality of research data and thus from the entire organization code workflow, find factors point and the solution is very important.This article describes the basic connotation organization code, introduces the research organization code data quality control methods practical significance. Taking Shandong Province as the research organization code data base, based on existing work processes, the status quo of data quality, data quality management methods and found the factors affecting data quality, making it an effective data quality control methods targeted establishment.This article extensive collection of relevant literature review and research theory and personally involved Shandong Province organization code data quality management, based on the use of total quality management theory, process standardization and human factors such as theoretical studies, combined with the characteristics of the organization code data itself, the use of statistical methods to establish a sound scientific workflow standards, data quality control system. Organization code data by sampling work carried out to quantify the quality of data analysis methods to verify an active role in the actual work produced.