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Overview ISO/IEC 5259-3:2024 defines requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality of data used for analytics and machine learni…
Overview ISO/IEC 5259-2:2024 - "Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 2: Data quality measures" defines a standardized data quality model, a catalog of…
Overview ISO/IEC 5259-1:2024 - Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, terminology, and examples is the foundational part of the ISO/IEC 525…
Overview ISO/IEC 5259-4:2024 - Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 4: Data quality process framework defines a general organizational framework to en…
Overview ISO/IEC 5259-5:2025 - Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 5: Data quality governance framework - defines a governance framework to help orga…
1 Scope This document establishes general common organizational approaches, regardless of the type, size or nature of the applying organization, to ensure data quality for training and evaluation in…
1 Scope This document specifies a data quality model, data quality measures and guidance on reporting data quality in the context of analytics and machine learning (ML). This document is applicable t…
1 Scope 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…
1 Scope This document provides the means for understanding and associating the individual documents of the ISO/IEC 5259 series and is the foundation for conceptual understanding of data quality for a…
1 Scope This document provides a data quality governance framework for analytics and machine learning (ML) to enable governing bodies of organizations to direct and oversee the implementation and ope…