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Statistical Data Quality Management: from a Multidisciplinary Perspective |
HUANG Xiang yang,ZHANG Hao |
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Abstract It is argued that statistics falls behind IT and accounting in the systematic research of data quality management. It will be helpful for statistics data quality management to learn from IT and accounting under general principles of quality management. Desirable characteristics for statistical data quality management are proposed under the framework of total data quality management in this paper. Based on accounting information quality framework and the trade-off between effectiveness and cost of data quality, it is argued that objectivity could be replaced by a combination of some more operative characteristics, and accessibility should be treated under the constraints of data confidentiality, available information techniques a
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Received: 21 April 2011
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Corresponding Authors:
HUANG Xiang yang
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