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Attribute-based data quality evaluation in regional Material Flow Analysis

dc.contributor.authorSchwab, Oliver
dc.contributor.authorLaner, David
dc.contributor.authorRechberger, Helmut
dc.contributor.editorJohannsen, Vivian Kvist
dc.contributor.editorJensen, Stefan
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorPreist, Chris
dc.contributor.editorEriksson, Elina
dc.date.accessioned2019-09-16T03:11:18Z
dc.date.available2019-09-16T03:11:18Z
dc.date.issued2015
dc.description.abstractA method for data quality evaluation in macro scale MFAs such as national resource budgets is presented. MFA data is never totally accurate but may have certain defects. The four information defects semantic, representativeness, provenance and context are introduced. These information defects are considered to be functions of data attributes. Data attributes are assigned to MFA data according to an existing framework. A method for quantification of information defects and for expressing the data quality of a flow by a single number is presented. It provides opportunities for understanding and evaluating resource budgets, their a priori information basis and their information content.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol9073/0189.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25632
dc.publisherUniversity of Copenhagen
dc.relation.ispartofEnviroInfo & ICT4S, Adjunct Proceedings
dc.relation.ispartofseriesEnviroInfo
dc.titleAttribute-based data quality evaluation in regional Material Flow Analysisde
dc.typeText/Conference Paper
gi.citation.publisherPlaceCopenhagen, Denmark
gi.conference.date2015
gi.conference.locationCopenhagen
gi.conference.sessiontitleParallel Session II

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