Abstract
Data quality is important across sectors to ensure that data meets the requirements of its users, but until now little attention has been given to how it is reported in the architecture, engineering and construction (AEC) sectors. The lack of visibility about data quality in building energy performance monitoring motivated a review of 162 articles published since 2017. This identified that data quality reporting was fragmented and limited, with a gap from best practice and a lack of standardisation around requirements specific to building performance, including data comparability and spatiotemporal granularity. Where data quality issues were diagnosed, this was in isolation and concerned individual data quality attributes rather than within a comprehensive data governance strategy. This powerfully evidences the need to build consensus across AEC about (1) the required levels of data quality from building energy performance data, (2) a consistent reporting vocabulary and (3) how data quality is achieved.
Original language | English |
---|---|
Article number | 112701 |
Journal | Energy and Buildings |
Volume | 279 |
DOIs | |
Publication status | Published - 15 Jan 2023 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Mechanical Engineering
- Electrical and Electronic Engineering
Keywords
- Building energy monitoring
- Building performance evaluation
- Data quality
- Information technology