Data quality — Part 100: Master data: Exchange of characteristic data: Overview
数据质量 - 第100部分:主数据:特征数据交换:概述
发布日期:
2016-09-23
ISO 8000-100:2016概述了ISO 8000部分的主数据质量系列,该系列涉及主数据质量。
以下内容属于ISO 8000部分的主数据质量系列的范围:
·质量管理体系特定方面的主数据;
·主数据质量指标。
ISO 8000部分的主数据质量系列的方法是解决数据质量问题:
·从下到上,即从最小的有意义元素开始,属性值;
·在主数据管理系统的接口处,而不是在系统内。
ISO 8000部分的主数据质量系列包含可由计算机检查的要求,以便在组织和系统之间交换由特征数据组成的主数据。
这些部分涉及在主数据消息中交换的属性值的质量。
ISO 8000-100:2016描述了主数据质量的基本原理,并规定了实现主数据质量对数据和组织的要求。
以下内容在ISO 8000-100:2016的范围内:
·ISO 8000零件主数据质量系列范围规范;
·主数据介绍;
·数据架构的描述;
·概述本系列其他部分的内容。
以下内容不在ISO 8000-100:2016的范围内:
·适用于所有数据的数据质量方面,无论它们是否为主数据;
·适用于非主数据的数据质量方面。
ISO 8000-100:2016 contains an overview of the master data quality series of parts of ISO 8000, which addresses master data quality.
The following are within the scope of the master data quality series of parts of ISO 8000:
· master data-specific aspects of quality management systems;
· master data quality metrics.
The approach of the master data quality series of parts of ISO 8000 is to address data quality:
· from the bottom up, i.e. from the smallest meaningful element, the property value;
· at the interface of master data management systems, not within the systems.
The master data quality series of parts of ISO 8000 contains requirements that can be checked by computer for the exchange, between organizations and systems, of master data that consists of characteristic data. These parts address the quality of property values that are exchanged within master data messages.
ISO 8000-100:2016 describes fundamentals of master data quality and specifies requirements on both data and organizations to enable master data quality.
The following are within the scope of ISO 8000-100:2016:
· specification of the scope of the master data quality series of parts of ISO 8000;
· introduction to master data;
· description of the data architecture;
· overview of the content of the other parts of the series.
The following are outside the scope of ISO 8000-100:2016:
· aspects of data quality that apply to all data regardless of whether they are master data;
· aspects of data quality that apply to data that are not master data.