Asset information requirements

Digital Engineering Series DE5

Chartered Institution of Building Services Engineers, 2017
Asset information requirements Download document

Document Status

Current

Supplement

Core Supplement

Series

Digital Engineering Series

Abstract

Aimed at those who commission and use asset information requirements documents, with a particular focus on requirements linked to the building services aspects.

Author

Collins, C.

History

Published April 2017. First published: April 2017. Redesigned: July 2018. This document forms part of the CIBSE Digital Engineering Series. There is an asset information requirements template which is a supplement to this document. This cannot be included within CIS but is available on the CIBSE website. The Society of Digital Engineering is part of the Chartered Institution of Building Services Engineers (CIBSE).

ISBN

9781906846961

Subjects

  • Building information modelling (BIM)
  • Legal issues and management

Publisher History

The Chartered Institution of Building Services Engineers received its Royal Charter in 1976. They promote careers of building services engineers by accrediting courses of study in further and higher education, and by approving work based training programmes. Their publications include technical guidance and codes which set the criteria for best practice in the profession.

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.