Data quality distance

Caroline Visentin

Chapter 36 in Elgar Encyclopedia of Life Cycle Sustainability Assessment, 2026, pp 121-124 from Edward Elgar Publishing

Abstract: The significant increase in available web data has heightened the importance of ensuring that said data is reliable and accurate. High-quality data is essential for organizations to make decisions, achieve their sustainability goals, and keep competitive. Data Quality Distance refers to the measure of the difference or similarity between two sets of data, with respect to their quality. Also, data quality distance is an important parameter for the accuracy and reliability of Life Cycle Sustainability Analysis (LCSA) data. In this entry, we will delve into data quality distance in detail, discussing how it is calculated, and analyzing reliability and accuracy aspects.

Keywords: Data Quality Distance; Reliability; Accuracy; Distance Metrics; Life Cycle Sustainability Analysis; Data Integration (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035309887
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