prBAS ISO/IEC 5259-3:2025

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines


General information
Status:Project
Number of pages:0
Adoption method:Korice
Edition:1.
Realization date:24.01.2025
Forseen date for next stage code:30.01.2025
Technical committee:BAS/TC 1, Information technology
ICS:
35.020, Information technology (IT) in general

Abstract
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.

Lifecycle
...

Original document and degree of correspondence
ISO/IEC 5259-3:2024, identical

Work material

Only members of the technical committee have access to work material. If you are a members of this technical committee you need to login to view the documents. Login