International Standard
ISO/IEC 5259-4:2024
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
Reference number
ISO/IEC 5259-4:2024
Edition 1
International Standard
Read sample
ISO/IEC 5259-4:2024
Published (Edition 1, 2024)

ISO/IEC 5259-4:2024

ISO/IEC 5259-4:2024
CHF 151
Convert Swiss francs (CHF) to your currency


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 analytics and machine learning (ML). It includes guidance on the data quality process for:

     supervised ML with regard to the labelling of data used for training ML systems, including common organizational approaches for training data labelling;

     unsupervised ML;

     semi-supervised ML;

     reinforcement learning;


This document is applicable to training and evaluation data that come from different sources, including data acquisition and data composition, data preparation, data labelling, evaluation and data use. This document does not define specific services, platforms or tools.

General information

  •  : Published
     : 2024-07
    : International Standard published [60.60]
  •  : 1
     : 28
  • ISO/IEC JTC 1/SC 42
  • RSS updates

Got a question?

Check out our Help and Support

Check out our FAQs

Customer care
+41 22 749 08 88

Opening hours:
Monday to Friday - 09:00-12:00, 14:00-17:00 (UTC+1)