摘要
数据质量问题及其研究均时日已久,在智能制造时代来临之际,其重要性已经比肩数据资源本身。文章回顾了工业数据领域国际数据质量研究与实践的进展,重点对ISO8000数据质量国际标准提出的工业数据质量框架、主数据质量、事务数据质量和产品数据质量进行了探讨,最后对我国制造企业进行工业数据质量控制及其标准化建设提出了建议。
In the intelligent manufacturing field, the importance of industry data quality is no less than that of data resources. This paper reviews the progress of research and practice on industry data quality and its standardization, introduces the framework of industrial data quality, which is put forward by the international standard of ISO 8000 data quality. The paper also discusses the master data quality, transaction data quality and product data quality and proposes suggestions for China＇s manufacturing enterprises in the industrial data quality control and standardization.
出处
《中国标准化》
2016年第10期70-74,126,共6页
China Standardization
基金
2016年国家重点研发计划项目课题"支撑工业三基的模块化设计与工业数据等通用技术标准研究"(课题编号:2016YFF0202103)资助
