A review of methods to specify information requirements in digital construction projects

Author:

Tomczak A,Berlo L v,Krijnen T,Borrmann A,Bolpagni M

Abstract

Abstract With the ever-growing digitalisation of the built environment, specifying information requirements (IR) is crucial to control the Building Information Modelling (BIM) data. However, the way of encoding these requirements is subject to a wide range of possibilities, making it difficult for the users to choose the most suitable method. The paper presents a comparative analysis of methods to define IR based on document study and expert group discussions. The study covers Data Dictionaries (ISO12006), Information Delivery Manual (IDM), IFC Property templates, Information Delivery Specification (IDS), Level of Information Need, Model View Definition (mvdXML), and Product Data Templates (PDT), as well as other, non-standardised methods such as Linked Data with SHACL. The comparison is based on criteria from the review of use-cases and covers aspects such as value constraints, properties of fields, geometry representation, metadata, expressiveness and dependency. The paper concludes that no single method covers all the discussed aspects, and selection should be made consciously based on a purpose. The results are relevant to information managers to understand the relations and differences between IR methods, suggest standardisation bodies a way forward to harmonise, integrate or differentiate the standards, and provide a framework for evaluating IR methods.

Publisher

IOP Publishing

Subject

General Engineering

Reference15 articles.

1. Macro BIM adoption: Comparative market analysis;Kassem;Autom. Constr.,2017

2. Developing owner information requirements for BIM-enabled project delivery and asset management;Cavka;Autom. Constr.,2017

3. Guidance Part D Developing information requirements;Bolpagni,2020

4. SHACL is for LBD what mvdXML is for IFC;Oraskari,2021

5. Web Services and Ontologies for Building Data;MacPherson,2012

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