Data quality – Data quality assessment: Creating data rules
Last updated: 11 May 2023
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. © ISO/IEC 2022 All rights reserved
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Referenced standards: ISO/TS 8000-81, ISO 8000-2, ISO/IEC 8824-1, ISO 8000-115, ISO 8000-1, ISO 8601 (all parts), IEC 61360-1, ISO 8000-8, ISO/TS 8000-311, ISO 10303-1, ISO 80000-1, ISO 9000, ISO/IEC 11404, ISO 8000-110, ISO 8000-61, ISO 9001