prEN ISO/IEC 5259-4
Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 4: Data quality process framework (ISO/IEC 5259-4:2024)
Draft Public enquiry
Comment end date
2025-04-03
Project stage codes
1. Prioritetinių darbo temų pažymėjimas ir ekspertų skyrimas
2. Projektas
3. Viešoji apklausa
From 2025-01-31
till 2025-04-03
4. Closure of enquiry
5. Submission to Formal Vote
Organisation
CEN Europos standartizacijos komitetasICS
35.020 - Information technology (IT) in generalTechnical Committee
TK 4 Information technologyForeignTC'S
CEN/CLC/JTC 21Number of comments
0Comment start date
2025-01-31Scope
This document establishes general common organizational approaches, regardless of the type, size or nature of the applying organization, to ensure data quality for training and evaluation in analytics and machine learning (ML). It includes guidance on the data quality process for: — supervised ML with regard to the labelling of data used for training ML systems, including common organizational approaches for training data labelling; — unsupervised ML; — semi-supervised ML; — reinforcement learning; — analytics. This document is applicable to training and evaluation data that come from different sources, including data acquisition and data composition, data preparation, data labelling, evaluation and data use. This document does not define specific services, platforms or tools.