ISO/IEC 5259-5:2025 Artificial intelligence - Data quality for analytics and machine learning - Part 5: Data quality governance framework
- Publisher: ISO
- Status:
final - Version:
1 - Certifiable: False
- Release Date:
2025-02 - Date Added:
2025-11-25 - Source URL: https://www.iso.org/standard/84150.html
Summary
This standard defines a governance framework for overseeing and directing data-quality activities in analytics and machine-learning contexts. It provides guidance for governing bodies on how to support, monitor, and steer data-quality efforts across the organization. The document focuses on enabling strategic alignment, clarifying responsibilities, and embedding data-quality considerations across the data lifecycle.
Key Takeaways
- Establishes governance-level guidance that complements the operational and process-focused parts of the 5259 series.
- Helps organizations align data-quality activities with broader strategic objectives and policies
- Clarifies roles and responsibilities at the governance level, enabling coordinated oversight across technical and business teams.
- Supports sustainable data-quality practices by emphasizing leadership involvement, prioritization, and resource commitment.
- Provides a framework for monitoring, supporting, and guiding data-quality measures throughout the data lifecycle.
Additional Sources
- ISO/IEC 5259-5: Data Quality Governance Framework for AI/ML — high-level overview of the standard
Tags
data, analytics, machine-learning, ml, governance