Artificial intelligence - Data quality for analytics and machine learning. Overview, terminology, and examples (Incorporating corrigendum June 2025)

BS EN ISO/IEC 5259-1:2025

British Standards Institution
Artificial intelligence - Data quality for analytics and machine learning. Overview, terminology, and examples (Incorporating corrigendum June 2025) Download document

Document Status

Current

Supplement

Construction Management Supplement

Series

BS EN ISO/IEC

Abstract

Presents an overview of the data quality concepts required for using with artificial intelligence and machine learning and includes examples. Useful for organisational use of AI, procurement and evaluation of AI tools, quality assurance and risk management approaches.

History

Supersedes BS ISO/IEC 5259-1:2024. Identical to ISO/IEC 5259-1:2024. Amendment dated 30 June 2025 - This corrigendum renumbers BS ISO/IEC 5259-1:2024 as BS EN ISO/IEC 5259-1:2025.

ISBN

9780539343021

Subjects

  • Building types
  • Computing facilities
  • Legal issues and management
  • Computing/IT
  • Building information modelling (BIM)

Publisher History

With over 100 years of experience the British Standards Institute is recognised as the UK’s National standards body. Their committees work with the manufacturing and service industries, government, businesses and consumers to facilitate the production of British, European and International standards.

Information

NBS

NBS has produced specification systems and information products for construction industry professionals for more than 40 years. The National Building Specification is the recognised UK national standard and is used by over 5,000 organisations. NBS is part of RIBA Enterprises Ltd.

Accuris

We connect trusted knowledge to customers' workflows – mitigating risk, increasing efficiency and accelerating innovation For more than 60 years, leading R&D and engineering-intensive organizations have relied on us to achieve on-time, on-budget delivery of complex projects and new products. We deliver an unparalleled combination of technical content and Artificial Intelligence (AI) technologies to surface answers from the vast universe of technical knowledge, both inside and outside the organization. In a single interface, we connect the dots between information scattered across many different sources, allowing technical professionals to make better, more informed decisions faster.