EN ISO/IEC 5259-3:2025

Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines (ISO/IEC 5259-3:2024)

This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality of data used in the areas of analytics and machine learning.
This document does not define a detailed process, methods or metrics. Rather it defines the requirements and guidance for a quality management process along with a reference process and methods that can be tailored to meet the requirements in this document.
The requirements and recommendations set out in this document are generic and are intended to be applicable to all organizations, regardless of type, size or nature.

Künstliche Intelligenz - Datenqualität für Analytik und maschinelles Lernen (ML) - Teil 3: Anforderungen und Leitlinien für das Datenqualitätsmanagement (ISO/IEC 5259-3:2024)

Intelligence artificielle - Qualité des données pour les analyses de données et l’apprentissage automatique - Partie 3: Exigences et lignes directrices pour la gestion de la qualité des données (ISO/IEC 5259-3:2024)

Le présent document spécifie des exigences et fournit des recommandations pour l’établissement, la mise en œuvre, le maintien et l’amélioration continue de la qualité des données utilisées dans les domaines de l’analyse de données et de l’apprentissage automatique.
Le présent document ne définit pas de processus, de méthodes ou de métriques détaillés. Il définit plutôt les exigences et recommandations associées à un processus de gestion de la qualité, ainsi qu’un processus et des méthodes de référence qui peuvent être adaptés pour satisfaire à ses exigences.
Les exigences et recommandations énoncées dans le présent document sont génériques et prévues pour s’appliquer à tout organisme, quels que soient son type, sa taille et sa nature.

Umetna inteligenca - Kakovost podatkov za analizo in strojno učenje - 3. del: Zahteve in smernice za vodenje kakovosti podatkov (ISO/IEC 5259-3:2024)

General Information

• Status: Published
• Publication Date: 20-May-2025
• ICS: 35.020 - Information technology (IT) in general
• Technical Committee: CEN/CLC/JTC 21 - Artificial Intelligence
• Current Stage: 6060 - Definitive text made available (DAV) - Publishing
• Start Date: 21-May-2025
• Due Date: 28-Jan-2027
• Completion Date: 21-May-2025
• Ref Project: SIST EN ISO/IEC 5259-3:2025 - Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines (ISO/IEC 5259-3:2024)

Standards Content (Sample)

SLOVENSKI STANDARD
01-julij-2025
Umetna inteligenca - Kakovost podatkov za analizo in strojno učenje - 3. del:
Zahteve in smernice za vodenje kakovosti podatkov (ISO/IEC 5259-3:2024)
Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data
quality management requirements and guidelines (ISO/IEC 5259-3:2024)
Künstliche Intelligenz - Datenqualität für Analytik und maschinelles Lernen (ML) - Teil 3:
Anforderungen und Leitlinien für das Datenqualitätsmanagement (ISO/IEC 5259-3:2024)
Intelligence artificielle - Qualité des données pour les analyses de données et
l’apprentissage automatique - Partie 3: Exigences et lignes directrices pour la gestion de
la qualité des données (ISO/IEC 5259-3:2024)
Ta slovenski standard je istoveten z: EN ISO/IEC 5259-3:2025
ICS:
35.020 Informacijska tehnika in Information technology (IT) in
tehnologija na splošno general
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

EUROPEAN STANDARD EN ISO/IEC 5259-3

NORME EUROPÉENNE
EUROPÄISCHE NORM
May 2025
ICS 35.020
English version
Artificial intelligence - Data quality for analytics and
machine learning (ML) - Part 3: Data quality management
requirements and guidelines (ISO/IEC 5259-3:2024)
Intelligence artificielle - Qualité des données pour les Künstliche Intelligenz - Datenqualität für Analytik und
analyses de données et l'apprentissage automatique - maschinelles Lernen (ML) - Teil 3: Anforderungen und
Partie 3: Exigences et lignes directrices pour la gestion Leitlinien für das Datenqualitätsmanagement (ISO/IEC
de la qualité des données (ISO/IEC 5259-3:2024) 5259-3:2024)
This European Standard was approved by CEN on 18 May 2025.

CEN and CENELEC members are bound to comply with the CEN/CENELEC Internal Regulations which stipulate the conditions for
giving this European Standard the status of a national standard without any alteration. Up-to-date lists and bibliographical
references concerning such national standards may be obtained on application to the CEN-CENELEC Management Centre or to
any CEN and CENELEC member.
This European Standard exists in three official versions (English, French, German). A version in any other language made by
translation under the responsibility of a CEN and CENELEC member into its own language and notified to the CEN-CENELEC
Management Centre has the same status as the official versions.

CEN and CENELEC members are the national standards bodies and national electrotechnical committees of Austria, Belgium,
Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy,
Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of North Macedonia, Romania, Serbia,
Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye and United Kingdom.

CEN-CENELEC Management Centre:
Rue de la Science 23, B-1040 Brussels
© 2025 CEN/CENELEC All rights of exploitation in any form and by any means
Ref. No. EN ISO/IEC 5259-3:2025 E
reserved worldwide for CEN national Members and for
CENELEC Members.
Contents Page
European foreword . 3

European foreword
The text of ISO/IEC 5259-3:2024 has been prepared by Technical Committee ISO/IEC JTC 1
"Information technology” of the International Organization for Standardization (ISO) and has been
taken over as EN ISO/IEC 5259-3:2025 by Technical Committee CEN-CENELEC/ JTC 21 “Artificial
Intelligence” the secretariat of which is held by DS.
This European Standard shall be given the status of a national standard, either by publication of an
identical text or by endorsement, at the latest by November 2025, and conflicting national standards
shall be withdrawn at the latest by November 2025.
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. CEN-CENELEC shall not be held responsible for identifying any or all such patent rights.
Any feedback and questions on this document should be directed to the users’ national standards body.
A complete listing of these bodies can be found on the CEN and CENELEC websites.
According to the CEN-CENELEC Internal Regulations, the national standards organizations of the
following countries are bound to implement this European Standard: Austria, Belgium, Bulgaria,
Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland,
Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of
North Macedonia, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye and the
United Kingdom.
Endorsement notice
The text of ISO/IEC 5259-3:2024 has been approved by CEN-CENELEC as EN ISO/IEC 5259-3:2025
without any modification.
International
Standard
ISO/IEC 5259-3
First edition
Artificial intelligence — Data
2024-07
quality for analytics and machine
learning (ML) —
Part 3:
Data quality management
requirements and guidelines
Intelligence artificielle — Qualité des données pour les analyses
de données et l’apprentissage automatique —
Partie 3: Exigences et lignes directrices pour la gestion de la
qualité des données
Reference number
ISO/IEC 5259-3:2024(en) © ISO/IEC 2024

ISO/IEC 5259-3:2024(en)
© ISO/IEC 2024
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below
or ISO’s member body in the country of the requester.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: [phone]
Email: [e-mail]
Website: www.iso.org
Published in Switzerland
© ISO/IEC 2024 – All rights reserved
ii
ISO/IEC 5259-3:2024(en)
Contents Page
Foreword .v
Introduction .vi
1 Scope .1
2 Normative references .1
3 Terms and definitions .1
4 Symbols and abbreviated terms. 2
5 Intended usage . 2
6 Overall data quality management . 2
6.1 Objective.2
6.2 General .2
6.3 Requirements and recommendations .3
6.3.1 General .3
6.3.2 Data quality culture . .3
6.3.3 Management of data quality issues . .3
6.3.4 Competence management .3
6.3.5 Resource management .4
6.3.6 Management system integration .4
6.3.7 Documentation.4
6.3.8 Data quality audit and assessment.4
6.3.9 Confirmation review and data quality measures .5
6.3.10 Project-specific data quality management .5
6.4 Work products .5
7 Life cycle-specific data quality management .6
7.1 Objective.6
7.2 General .6
7.2.1 Data quality management life cycle .6
7.2.2 Data quality management life cycle stages .7
7.2.3 Project-independent tailoring of the data quality management life cycle .8
7.2.4 Horizontal aspects of the data quality management life cycle .8
7.3 Requirements and recommendations .9
7.3.1 Data motivation and conceptualization . .9
7.3.2 Data specification .9
7.3.3 Data planning .11
7.3.4 Data acquisition . . .11
7.3.5 Data preprocessing . 13
7.3.6 Data augmentation . 13
7.3.7 Data provisioning .14
7.3.8 Data decommissioning .16
7.4 Work products .17
7.4.1 Work products of data motivation and conceptualization stage .17
7.4.2 Work products of data specification stage .
...