A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Building energy performance monitoring through the lens of data quality: A review
Highlights Data quality lacks visibility in building energy performance monitoring studies. Reporting is inconsistent and not comprehensive, impeding how much we know about it. There is a need to build consensus around how data quality is achieved, measured and reported.
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.
Building energy performance monitoring through the lens of data quality: A review
Highlights Data quality lacks visibility in building energy performance monitoring studies. Reporting is inconsistent and not comprehensive, impeding how much we know about it. There is a need to build consensus around how data quality is achieved, measured and reported.
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.
Building energy performance monitoring through the lens of data quality: A review
Morewood, Jack (author)
Energy and Buildings ; 279
2022-11-26
Article (Journal)
Electronic Resource
English
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