S省组织机构代码数据质量控制研究
发布时间：2018-09-05 10:36
【摘要】：随着信息化及互联网的快速发展,数据信息作为一种特殊的、电子化的产品已经广泛的应用到社会的各个领域。组织机构代码是赋予每个依法成立或已核准登记机构的一个终身不变的九位无含义代码,组织机构代码数据记录了我国组织机构的基本信息。由于数据信息存在的形式不同于传统实物产品,所以在质量控制方面出现了不一样的新问题。尤其是国家层面已经将组织机构代码数据作为建立统一社会信用代码制度的基础,数据质量已经成为组织机构代码工作发展的生命线,如何为统一社会信用代码制度提供合格的数据信息,减少问题数据,以推动社会信用体系的健康发展,数据质量控制就成为工作中的重点。因而从整个组织机构代码工作流程中研究数据质量的影响因素,找到影响因素点及解决方法是十分重要的。本文介绍了组织机构代码的基本内涵,介绍了研究组织机构代码数据质量控制研究的现实意义。以山东省组织机构代码数据为研究基础,根据现有工作流程、数据质量现状、数据质量管理方法中发现其中影响数据质量的因素,从而有针对性的建立一套有效的数据质量控制机制。本文广泛查阅收集相关文献资料和研究理论,并亲身参与山东省组织机构代码数据质量管理工作基础上,运用全面质量管理理论、过程标准化及人因等理论研究为基础,结合组织机构代码数据本身特点,运用统计方法,科学的建立起一套完善的工作流程标准体系、数据质量管控体系。通过组织机构代码数据抽查工作,对数据质量进行了量化分析,验证了研究方法在实际工作中的产生的积极作用。
[Abstract]:With the rapid development of information and Internet, data information as a special, electronic products have been widely used in various fields of society. The organizational code is a nine-digit code that gives every legally established or approved registration institution a life invariable code. The data of the organizational code record the basic information of the organization in our country. Because the form of data information is different from the traditional physical products, there are different new problems in quality control. In particular, at the national level, organizational code data has been taken as the basis for the establishment of a unified social credit code system, and data quality has become the lifeline of the development of organizational code work. How to provide qualified data information for unified social credit code system and reduce the problem data to promote the healthy development of social credit system, data quality control has become the focus of the work. Therefore, it is very important to study the influencing factors of data quality from the whole organization code workflow, to find the influencing factors and the solutions. This paper introduces the basic connotation of organizational code and the practical significance of research on data quality control of organizational code. Based on the organization code data of Shandong Province, according to the existing work flow, data quality status, data quality management methods found in the factors affecting the data quality, Thus, a set of effective data quality control mechanism is established. On the basis of extensive reference to relevant literature and research theories, and personal participation in the work of data quality management of organizational code in Shandong Province, this paper uses the theory of total quality management, process standardization and human factors as the basis of theoretical research. Combined with the characteristics of the organization code data, a set of perfect workflow standard system and data quality control system are established scientifically by using the statistical method. The quantitative analysis of the data quality is carried out by organizing the random check of code data of the organization, and the positive effect of the research method in the practical work is verified.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F203
本文编号：2224016
[Abstract]:With the rapid development of information and Internet, data information as a special, electronic products have been widely used in various fields of society. The organizational code is a nine-digit code that gives every legally established or approved registration institution a life invariable code. The data of the organizational code record the basic information of the organization in our country. Because the form of data information is different from the traditional physical products, there are different new problems in quality control. In particular, at the national level, organizational code data has been taken as the basis for the establishment of a unified social credit code system, and data quality has become the lifeline of the development of organizational code work. How to provide qualified data information for unified social credit code system and reduce the problem data to promote the healthy development of social credit system, data quality control has become the focus of the work. Therefore, it is very important to study the influencing factors of data quality from the whole organization code workflow, to find the influencing factors and the solutions. This paper introduces the basic connotation of organizational code and the practical significance of research on data quality control of organizational code. Based on the organization code data of Shandong Province, according to the existing work flow, data quality status, data quality management methods found in the factors affecting the data quality, Thus, a set of effective data quality control mechanism is established. On the basis of extensive reference to relevant literature and research theories, and personal participation in the work of data quality management of organizational code in Shandong Province, this paper uses the theory of total quality management, process standardization and human factors as the basis of theoretical research. Combined with the characteristics of the organization code data, a set of perfect workflow standard system and data quality control system are established scientifically by using the statistical method. The quantitative analysis of the data quality is carried out by organizing the random check of code data of the organization, and the positive effect of the research method in the practical work is verified.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F203
【参考文献】
相关期刊论文 前3条
1 陈振团;;探讨组织机构代码数据库沉淀数据的产生及处理[J];质量技术监督研究;2011年06期
2 周丽;;组织机构代码窗口服务标准体系浅析[J];大众标准化;2013年08期
3 王志勇;王孝有;;组织机构代码工作配合商事登记制度改革的探索和思考[J];标准科学;2014年03期
，本文编号：2224016
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