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CSA ISO/IEC 5259-2:25

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures (Adopted ISO/IEC 5259-2:2024, first edition, 2024-11)

Standard Details

CSA Preface Standards development within the Information Technology sector is harmonized with international standards development. Through the CSA Technical Committee on Information Technology (TCIT), Canadians serve as the SCC Mirror Committee (SMC) on ISO/IEC Joint Technical Committee 1 on Information Technology (ISO/IEC JTC1) for the Standards Council of Canada (SCC), the ISO member body for Canada and sponsor of the Canadian National Committee of the IEC. For brevity, this Standard will be referred to as "CSA ISO/IEC 5259-2" throughout. The International Standard was reviewed by the CSA TCIT under the jurisdiction of the CSA Strategic Steering Committee on Information and Communications Technology and deemed acceptable for use in Canada. This Standard has been formally approved, without modification, by the Technical Committee and has been developed in compliance with Standards Council of Canada requirements for National Standards of Canada. It has been published as a National Standard of Canada by CSA Group. Scope This document specifies a data quality model, data quality measures and quidance 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.

General Information

Status : ACTIVE
Standard Type: Main
Document No: CSA ISO/IEC 5259-2:25
Document Year: 2025
Pages: 56
Adopted: Yes

Life Cycle

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ACTIVE
CSA ISO/IEC 5259-2:25
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