AS ISO/IEC 5259.3:2024 identically adopts ISO/IEC 5259 3:2024, which 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.
Table of contents
Header
About this publication
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Intended usage
6 Overall data quality management
6.1 Objective
6.2 General
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
6.3.5 Resource management
6.3.6 Management system integration
6.3.7 Documentation
6.3.8 Data quality audit and assessment
6.3.9 Confirmation review and data quality measures
6.3.10 Project-specific data quality management
6.4 Work products
7 Life cycle-specific data quality management
7.1 Objective
7.2 General
7.2.1 Data quality management life cycle
7.2.2 Data quality management life cycle stages
7.2.2.1 Data motivation and conceptualization
7.2.2.2 Data specification
7.2.2.3 Data planning
7.2.2.4 Data acquisition
7.2.2.5 Data preprocessing
7.2.2.6 Data augmentation
7.2.2.7 Data provisioning
7.2.2.8 Data decommissioning
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
7.2.4.1 General
7.2.4.2 Validation and verification
7.2.4.3 Change management
7.2.4.4 Configuration management
7.2.4.5 Risk management
7.3 Requirements and recommendations
7.3.1 Data motivation and conceptualization
7.3.1.1 General
7.3.1.2 Stakeholder analysis
7.3.1.3 Feasibility analysis
7.3.2 Data specification
7.3.2.1 General
7.3.2.2 Data format
7.3.2.3 Statistical properties and divisibility
7.3.2.4 Supporting resources and tools
7.3.3 Data planning
7.3.3.1 General
7.3.3.2 Data life cycle specific plans
7.3.4 Data acquisition
7.3.4.1 General
7.3.4.2 Data source
7.3.4.3 Data collection
7.3.4.4 Data handling
7.3.5 Data preprocessing
7.3.5.1 General
7.3.5.2 Data cleaning
7.3.6 Data augmentation
7.3.6.1 General
7.3.6.2 Data labelling and annotation
7.3.6.3 Computed augmentation
7.3.7 Data provisioning
7.3.7.1 General
7.3.7.2 Data provision items
7.3.7.3 Documentation
7.3.7.4 Tracking and improvement
7.3.7.5 Data optimization
7.3.7.6 Support commitment
7.3.8 Data decommissioning
7.3.8.1 General
7.3.8.2 Data transfer
7.3.8.3 Data deletion
7.3.8.4 Partial data deletion on request
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
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
8.3.1.1 General
8.3.1.2 Data life cycle quality gates
8.3.1.3 Improvement
8.3.2 Configuration management
8.3.3 Change management
8.3.3.1 General
8.3.3.2 Planning change management
8.3.3.3 Change request specification
8.3.3.4 Change request analysis
8.3.3.5 Change request evaluation
8.3.3.6 Implementing and documenting change
8.3.4 Risk management
8.3.4.1 General
8.3.4.2 Requirements and recommendations
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
9 Management of data quality in supply chains
9.1 Objective
9.2 Requirements and recommendations
9.3 Work products
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
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
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
12.6 Planning and coordination of the data quality activities
