ISO 8000-1:2022

Data quality — Part 1: Overview

This document provides an overview of the ISO 8000 series. The following are within the scope of this document: — stating the scope of the ISO 8000 series as a whole; — establishing the principles of information and data quality; — describing the path to data quality; — describing the structure of the ISO 8000 series; — providing a summary of the content of each part in the ISO 8000 series; — establishing the relationship of the ISO 8000 series to other international standards.

Qualité des données — Partie 1: Aperçu

General Information

• Status: Published
• Publication Date: 19-Apr-2022
• ICS: 25.040.40 - Industrial process measurement and control
• Technical Committee: ISO/TC 184/SC 4 - Industrial data
• Drafting Committee: ISO/TC 184/SC 4/WG 13 - Industrial Data Quality
• Current Stage: 9093 - International Standard confirmed
• Completion Date: 10-Aug-2024

Relations

• Revises: ISO/TS 8000-1:2011 - Data quality — Part 1: Overview
• Effective Date: 10-Jul-2021

Standards Content (Sample)

INTERNATIONAL ISO
STANDARD 8000-1
First edition
2022-04
Data quality —
Part 1:
Overview
Qualité des données —
Partie 1: Aperçu
Reference number
© ISO 2022
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
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or ISO’s member body in the country of the requester.
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Published in Switzerland
ii
Contents Page
Foreword .v
Introduction . vi
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Scope of the ISO 8000 series .1
5 Principles of information and data quality . 2
6 The ISO 8000 series path to data quality . 3
7 Structure of the ISO 8000 series . 5
7.1 Overview of the structure . 5
7.2 General aspects of information and data quality . 6
7.2.1 Group purpose and constituents . 6
7.2.2 ISO 8000-2 . 7
7.2.3 ISO 8000-8 . 7
7.3 Data governance . 7
7.3.1 Group purpose and constituents . 7
7.3.2 ISO 8000-51. 7
7.4 Data quality management. 8
7.4.1 Group purpose and constituents . 8
7.4.2 ISO/TS 8000-60 . 8
7.4.3 ISO 8000-61 . 8
7.4.4 ISO 8000-62 . 8
7.4.5 ISO 8000-63 . 8
7.4.6 ISO 8000-64 . 9
7.4.7 ISO/TS 8000-65 . 9
7.4.8 ISO 8000-66 . 9
7.4.9 ISO 8000-150 . 9
7.5 Data quality assessment . 9
7.5.1 Group purpose and constituents . 9
7.5.2 ISO/TS 8000-81 . 10
7.5.3 ISO/TS 8000-82 . 10
7.6 Quality of master data . 10
7.6.1 Group purpose and constituents . 10
7.6.2 ISO 8000-100 . 11
7.6.3 ISO 8000-110 . 11
7.6.4 ISO 8000-115.12
7.6.5 ISO 8000-116 .12
7.6.6 ISO 8000-120 .12
7.6.7 ISO 8000-130 .12
7.6.8 ISO 8000-140 . . .12
7.7 Quality of industrial data .13
7.7.1 Group purpose and constituents . 13
7.7.2 ISO/TS 8000-311 .13
8 Relationship of the ISO 8000 series to other international standards .13
8.1 Overview of the relationship to other international standards .13
8.2 Standards for quality management systems . 13
8.3 Standards for management systems other than quality management systems . 14
8.4 Standards for software quality . . . 14
8.5 Standards for industrial data .15
8.6 Standards for types of data other than industrial data . 16
Annex A (informative) Document identification .17
iii
Bibliography .18
iv
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www.iso.org/directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www.iso.org/patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation of the voluntary nature of standards, the meaning of ISO specific terms and
expressions related to conformity assessment, as well as information about ISO's adherence to
the World Trade Organization (WTO) principles in the Technical Barriers to Trade (TBT), see
www.iso.org/iso/foreword.html.
This document was prepared by Technical Committee ISO/TC 184, Automation systems and integration,
Subcommittee SC 4, Industrial data.
This first edition of ISO 8000-1 cancels and replaces ISO/TS 8000-1:2011, which has been technically
revised.
The main changes are as follows:
— updates to cover the complete published parts in the ISO 8000 series;
— general editorial changes.
A list of all parts in the ISO 8000 series can be found on the ISO website.
Any feedback or questions on this document should be directed to the user’s national standards body. A
complete listing of these bodies can be found at www.iso.org/members.html.
v
Introduction
Digital data deliver value by enhancing all aspects of organizational performance including:
— operational effectiveness and efficiency;
— safety;
— reputation with customers and the wider public;
— compliance with statutory regulations;
— innovation;
— consumer costs, revenues and stock prices.
In addition, many organizations are now addressing these considerations with reference to the United
1)
Nations Sustainable Development Goals .
The influence on performance originates from data being the formalized representation of
2)
information . This information enables organizations to make reliable decisions. Such decision-making
can be performed by human beings directly and also by automated data processing including artificial
intelligence systems.
Through widespread adoption of digital computing and associated communication technologies,
organizations become dependent on digital data. This dependency amplifies the negative consequences
of lack of quality in these data. These consequences are the decrease of organizational performance.
The biggest impact of digital data comes from two key factors:
— the data having a structure that reflects the nature of the subject matter;
EXAMPLE 1 A research scientist writes a report using a software application for word processing. This report
includes a table that uses a clear, logical layout to show results from an experiment. These results indicate how
material properties vary with temperature. The report is read by a designer, who uses the results to create a
pr
...