Data Quality in The Built Environment Across Europe

Energy efficient projects are usually based on data to take better-informed decisions. High-quality data is necessary to reduce the uncertainty, which is a challenge to solve data gaps and/or outliers, thus limiting the trustworthiness in the decision-making. High-quality data is essential for assessing energy usage, identifying improvement measures and implementing effective solutions. This paper presents a data quality methodology, based on seven dimensions and validated in ten pilots across Europe. The maturity levels in the monitoring stage are crucial. Completeness, accuracy and consistency values vary between 40%-99%. It indicates the need for creating correction procedures and increasing the data quality.