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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 2024
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
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Published in Switzerland
© ISO/IEC 2024 – All rights reserved
ii
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 .17
7.4.3 Work products of data planning stage .17
7.4.4 Work products of data acquisition stage .17
7.4.5 Work products of data preprocessing stage .17
7.4.6 Work products of data augmentation stage .18
7.4.7 Work products of data provisioning stage .18
7.4.8 Work products of data decommissioning stage .18
8 Horizontal processes .18
8.1 Objective.18
8.2 General .18
8.3 Requirements and recommendations .18
8.3.1 Verification and validation .18
© ISO/IEC 2024 – All rights reserved
iii
8.3.2 Configuration management .19
8.3.3 Change management .19
8.3.4 Risk management . 20
8.4 Work products .21
8.4.1 Work products of verification and validation .21
8.4.2 Work products of configuration management .21
8.4.3 Work products of change management.21
8.4.4 Work products for risk management .21
9 Management of data quality in supply chains .22
9.1 Objective. 22
9.2 Requirements and recommendations . 22
9.3 Work products . 22
10 Management of data processing tools .23
10.1 Objective. 23
10.2 Requirements and recommendations . 23
10.3 Work products . 23
11 Management of data quality dependencies .23
11.1 Objective. 23
11.2 Requirements and recommendations . 23
11.3 Work products .
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