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prSSH EN ISO/IEC 5259-3:2025

Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines (ISO/IEC 5259-3:2024)

General information

10.00     Jan 7, 2026

DPS

DPS/KT 9

European Norm

35.020  

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 learning.
This document does not define a detailed process, methods or metrics. Rather it defines the requirements and guidance for a quality management process along with a reference process and methods that can be tailored to meet the requirements in this document.
The requirements and recommendations set out in this document are generic and are intended to be applicable to all organizations, regardless of type, size or nature.

Life cycle

NOW

IN_DEVELOPMENT
prSSH EN ISO/IEC 5259-3:2025
10.00 Proposal for new project registered
Jan 7, 2026

Related project

Adopted from EN ISO/IEC 5259-3:2025 IDENTICAL

Adopted from ISO/IEC 5259-3:2024 IDENTICAL