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Data quality — Part 82: Data quality assessment: Creating data rules 数据质量.第82部分:数据质量评估:创建数据规则
发布日期: 2022-06-14
本文档描述了数据规则如何应用于各种类型的数据。这些规则的存在是为了通过将需求捕获到数据库和其他信息系统可以处理的形式来维持数据的完整性和可靠性。 以下内容在本文件范围内: —?数据规则的基本概念; —?常见数据类型的数据规则的关键特征,其中这些类型是标识符、货币值、数量、日期或时间、利率、自由文本输入、代码和键; —?数据分析如何有助于制定有效的数据规则。 以下内容不在本文件范围内: —?特定数据集的特定规则。 本文件可与质量管理体系标准结合使用或独立使用。 例子?1.ISO9001规定了质量管理体系的要求。 本文档还可以与标准结合使用或独立于标准使用,以获得更详细的数据类型定义。 例子?2.ISO/IEC11404规定了编程语言和软件接口中常见的数据类型集合的命名法和共享语义。 例子?3.IEC61360?1规定了属性和相关属性的定义原则,并解释了表示口头定义概念的方法。

This document describes how data rules apply to various types of data. Such rules exist to sustain the integrity and reliability of data by capturing requirements into a form that can be processed by databases and other information systems.

The following are within the scope of this document:

—    fundamental concepts of data rules;

—    key characteristics of data rules for common types of data, where these types are identifier, currency value, quantity, date or time, rate, free?text entry, code and key;

—    how data profiling contributes to formulating effective data rules.

The following is outside the scope of this document:

—    specific rules for specific sets of data.

This document can be used in conjunction with or independently of standards for quality management systems.

EXAMPLE 1   ISO 9001 specifies requirements for quality management systems.

This document can also be used in conjunction with or independently of standards for more detailed definitions of data types.

EXAMPLE 2   ISO/IEC 11404 specifies the nomenclature and shared semantics for a collection of datatypes commonly occurring in programming languages and software interfaces.

EXAMPLE 3   IEC 61360?1 specifies principles for the definition of the properties and associated attributes and explains the methods for representing verbally defined concepts.

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归口单位: ISO/TC 184/SC 4
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