NA 043

DIN Standards Committee Information Technology and IT Applications

Project

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

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.

Begin

2024-10-08

WI

JT021042

Planned document number

DIN EN ISO/IEC 5259-3

Project number

04301163

Responsible national committee

NA 043-01-42-03 AK - Data  

Responsible european committee

CEN/CLC/JTC 21 - Artificial Intelligence  

Responsible international committee

ISO/IEC JTC 1/SC 42/WG 2 - Data  

Contact

Boris Reznicek

Am DIN-Platz, Burggrafenstr. 6
10787 Berlin

Tel.: +49 30 2601-2327
Fax: +49 30 2601-42327

Send message to contact