A carbon data trustworthiness framework for the construction sector

Jinying XU, Kristen MacAskill
DOI: 10.35490/EC3.2023.261
Abstract: The construction and building sector contributes 37% of global emissions; yet fragmented, manual and not transparent carbon data collection methods create data trustworthiness issues. This article reviews practical carbon standards and data models and data trustworthiness studies. Then, a carbon data trustworthiness framework which involves data provenance, data quality, data compatibility, data privacy and security as its key pillars is proposed. The critical technical solutions that contributes 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.
Keywords: carbon data model, data compatability, Data Provenance, data quality, Data trustworthiness

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