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BS ISO/IEC 5259-3:2024

BS ISO/IEC 5259-3:2024

$167.15

Artificial intelligence. Data quality for analytics and machine learning (ML) – Data quality management requirements and guidelines

Published By Publication Date Number of Pages
BSI 2024 38
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PDF Catalog

PDF Pages PDF Title
2 undefined
7 Foreword
8 Introduction
9 1 Scope
2 Normative references
3 Terms and definitions
10 4 Symbols and abbreviated terms
5 Intended usage
6 Overall data quality management
6.1 Objective
6.2 General
11 6.3 Requirements and recommendations
6.3.1 General
6.3.2 Data quality culture
6.3.3 Management of data quality issues
6.3.4 Competence management
12 6.3.5 Resource management
6.3.6 Management system integration
6.3.7 Documentation
6.3.8 Data quality audit and assessment
13 6.3.9 Confirmation review and data quality measures
6.3.10 Project-specific data quality management
6.4 Work products
14 7 Life cycle-specific data quality management
7.1 Objective
7.2 General
7.2.1 Data quality management life cycle
15 7.2.2 Data quality management life cycle stages
16 7.2.3 Project-independent tailoring of the data quality management life cycle
7.2.4 Horizontal aspects of the data quality management life cycle
17 7.3 Requirements and recommendations
7.3.1 Data motivation and conceptualization
7.3.2 Data specification
19 7.3.3 Data planning
7.3.4 Data acquisition
21 7.3.5 Data preprocessing
7.3.6 Data augmentation
22 7.3.7 Data provisioning
24 7.3.8 Data decommissioning
25 7.4 Work products
7.4.1 Work products of data motivation and conceptualization stage
7.4.2 Work products of data specification stage
7.4.3 Work products of data planning stage
7.4.4 Work products of data acquisition stage
7.4.5 Work products of data preprocessing stage
26 7.4.6 Work products of data augmentation stage
7.4.7 Work products of data provisioning stage
7.4.8 Work products of data decommissioning stage
8 Horizontal processes
8.1 Objective
8.2 General
8.3 Requirements and recommendations
8.3.1 Verification and validation
27 8.3.2 Configuration management
8.3.3 Change management
28 8.3.4 Risk management
29 8.4 Work products
8.4.1 Work products of verification and validation
8.4.2 Work products of configuration management
8.4.3 Work products of change management
8.4.4 Work products for risk management
30 9 Management of data quality in supply chains
9.1 Objective
9.2 Requirements and recommendations
9.3 Work products
31 10 Management of data processing tools
10.1 Objective
10.2 Requirements and recommendations
10.3 Work products
11 Management of data quality dependencies
11.1 Objective
11.2 Requirements and recommendations
11.3 Work products
32 12 Project-specific data quality management
12.1 Objective
12.2 Requirements and recommendations
12.2.1 Context and intended use
12.2.2 Objective
12.2.3 Requirements and recommendations
12.3 Specification and management of data quality requirements
12.3.1 Objective
33 12.3.2 Requirements and recommendations
12.4 Roles and responsibilities in data quality management
12.4.1 Objective
12.4.2 Requirements and recommendations
12.4.3 Work products
12.5 Tailoring of the data quality activities
34 12.6 Planning and coordination of the data quality activities
12.6.1 General
12.6.2 Data quality plan
12.6.3 Planning of processes
12.7 Progression of the data quality life cycle
12.8 Data quality justification
35 12.9 Decommissioning
12.10 Work products
36 Bibliography

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BS ISO/IEC 5259-3:2024
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