NA 043

DIN Standards Committee Information Technology and IT Applications

Project

Artificial intelligence - Data quality for analytics and machine learning (ML) Part 2: Data quality measures

Abstract

This document specifies a data quality model, data quality measures and guidance on reporting data quality in the context of analytics and machine learning (ML). This document is applicable to all types of organizations who want to achieve their data quality objectives.

Begin

2024-10-08

WI

JT021041

Planned document number

DIN EN ISO/IEC 5259-2

Project number

04301162

Responsible national committee

NA 043-01-42-03 AK - Data  

Responsible european committee

CEN/CLC/JTC 21/WG 3 - Engineering aspects  

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

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