Codification challenges for data science in construction
File(s)
Accepted version
Author(s)
K Soman, Ranjith
Whyte, Jennifer
Type
Journal Article
Abstract
New forms of data science, including machine learning and data analytics, are enabled by machine-readable informationbut are not widely deployed in construction. Aqualitative study of information flow in three projects usingBuilding Information Modelling (BIM) in the late designand construction phaseis used to identify the challenges of codification whichlimit the application of data science.Despite substantial efforts to codify information with ‘Common Data Environment(CDE)’ platforms to structure and transfer digital information within and between teams, participants work across multiple media in both structured and unstructured ways. Challenges of codification identified in this paper relate to software usage (interoperability, translation, modelling, and file-based sharing), information sharing (unstructured information, document control, workarounds, process change,and multiple CDEs), and construction process information(loss of constraints and low level of detail). This paper contributes to the current understanding of data science in construction by articulating the codification challenges and their implications for data quality dimensions,such as accuracy, completeness, accessibility, consistency, timeliness, and provenance.It concludes with practical implications for developingand using machine-readable information and directions for research to extract insight from data and support future automation.
Date Issued
2020-04-27
Date Acceptance
2019-12-12
Citation
Journal of Construction Engineering and Management, 2020, 146 (7), pp.04020072-1-04020072-18
ISSN
0733-9364
Publisher
American Society of Civil Engineers
Start Page
04020072-1
End Page
04020072-18
Journal / Book Title
Journal of Construction Engineering and Management
Volume
146
Issue
7
Copyright Statement
©2020 American Society of Civil Engineers. Available in ASCE's Civil Engineering Database https://doi.org/10.1061/(ASCE)CO.1943-7862.0001846
Sponsor
Bentley Systems UK
Bentley Systems (UK) Ltd
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001846
Grant Number
PO: 4500106990
EP/R512655/1
Subjects
Building & Construction
0905 Civil Engineering
1202 Building
1504 Commercial Services
Publication Status
Published
Date Publish Online
2020-04-27