A CARBON DATA TRUSTWORTHINESS FRAMEWORK FOR CONSTRUCTION SECTOR

Abstract

The construction and building sector contributes 37% of global emissions; yet fragmented, manual and untransparent carbon data collection methods create data trustworthiness issues for making informed design and construction decisions. This article reviews practical carbon standards, data models, and data trustworthiness studies. Then, a carbon data trustworthiness framework is proposed. The framework presents attributes associated with data collection and management that influence the trustworthiness of project carbon data. These are collated under four pillars: data availability, data quality, data compatibility, and data security. The critical technical solutions that contribute to trustworthy data are summarized. This framework is a conceptual guidance for standardized carbon data model. It will lay a cornerstone for digitalized and automated carbon management and thus contribute to carbon reduction.