ISO/IEC 5259-1:2024 Artificial intelligence – Data quality for analytics and machine learning – Part 1: Overview, terminology, and examples

• Publisher: ISO
• Status: final
• Version: 1
• Certifiable: False
• Release Date: 2024-07
• Date Added: 2025-11-25
• Source URL: https://www.iso.org/standard/81088.html

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Summary

This standard introduces the overall structure and intent of the ISO/IEC 5259 series on data quality for analytics and machine learning. It defines the foundational terminology and explains how the subsequent parts of the series relate to one another. The document also includes illustrative examples to clarify how the concepts are used.

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Key Takeaways

• Provides a standard vocabulary so that organizations, tool builders, and auditors use consistent terms when discussing data quality in ML contexts.
• It lays out which aspects of data quality the series covers (and does not cover), helping organizations understand where additional standards or processes may be needed.
• The examples in Part 1 function as orientation tools, showing how the terminology and concepts appear in practice before later parts introduce detailed methods or requirements.

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Additional Sources

• ISO IEC 5259-1: Key to Data Quality in Machine Learning - overview of the standard

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Tags

data, analytics, machine-learning, ml