prBAS ISO/IEC 5259-5:2026

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance framework

General information

Status:Project

Number of pages:15

Adoption method:Korice

Language:engleski

Edition:1.

Realization date:19.11.2025

Forseen date for next stage code:26.11.2025

Technical committee:BAS/TC 1, Information technology

ICS:

35.020, Information technology (IT) in general

Abstract

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 operation of data quality measures, management, and related processes with adequate controls throughout the data life cycle (DLC) model according to ISO/IEC 5259-1. This document can be applied to any analytics and ML. This document does not define specific management requirements or process requirements according to ISO/IEC 5259-3 and ISO/IEC 5259-4 respectively.

Lifecycle

...

Original document and degree of correspondence

ISO/IEC 5259-5:2025, identical

Work material

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