2016
DOI: 10.1111/jiec.12490
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Quantitative Evaluation of Data Quality in Regional Material Flow Analysis

Abstract: Summary A method for quantitative evaluation of data quality in regional material flow analysis (MFA) is presented. The principal idea is that data quality is a multidimensional problem that cannot be judged by individual characteristics such as the data source, given that data from official statistics may not be per se of good quality and expert estimations may not be per se of bad quality, respectively. It appears that MFA data are never totally accurate and may have certain defects that impair the quality o… Show more

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Cited by 15 publications
(11 citation statements)
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“…; Schwab et al. ), it is S = 116. In addition to their absolute magnitude, relative comparisons of the measures provide useful information about MFA systems, as illustrated in figure .…”
Section: Analysis and Comparison Of Two Materials Flow Systemsmentioning
confidence: 96%
See 4 more Smart Citations
“…; Schwab et al. ), it is S = 116. In addition to their absolute magnitude, relative comparisons of the measures provide useful information about MFA systems, as illustrated in figure .…”
Section: Analysis and Comparison Of Two Materials Flow Systemsmentioning
confidence: 96%
“…The quality of model input data (information defects ID Fi ) of the two studies (figure , figure ) has been evaluated according to Schwab and colleagues (). The measures for uncertainty and complexity in MFA (calculated according to equations to ) of the case studies are listed in table .…”
Section: Analysis and Comparison Of Two Materials Flow Systemsmentioning
confidence: 99%
See 3 more Smart Citations