DIN EN ISO/IEC 5259-3:2025-03
Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines (ISO/IEC 5259-3:2024); German and English version prEN ISO/IEC 5259-3:2025 / Note: Date of issue 2025-01-31
| Fecha de anulación: |
2025-09-01
Anulada
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|---|---|
| Idiomas disponibles: | Alemán, Inglés |
| Resumen: | 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. |
| Keywords: | Algorithms|Analytical|Artificial intelligence|Components|Computer technology|Data acceptance|Data acquisition|Data processing|Data quality|Definitions|Enterprises|Functions|Grids|Information technology|Machine learning|Management|Models|Monitor|Network|Neuronal networks|Organization|Patterns|Quality management|Specification (approval)|Surveillance (approval)|Systems|Tools |
| ICS: | 35.020 - Tecnología de la información (TI) en general |
| CTN: | |
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Equivalencia Internacional |
Idéntica ISO/IEC 5259-3:2024 |
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Reemplazo Normas |
Es reemplazada por DIN EN ISO/IEC 5259-3:2025-09 |










