标准摘要
[中文适用范围]： 本文件规定了建立、实施、维护和持续改进分析和机器学习领域所用数据质量的要求并提供了指导。本文件未定义详细的流程、方法或指标。相反，它定义了质量管理流程的要求和指导，以及可定制以满足本文件中要求的参考流程和方法。本文件中规定的要求和建议是通用的，旨在适用于所有组织，无论其类型、规模或性质如何。 [外文原描述]： 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.
英文名称Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines