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Publications
Ramalhoto, M.F. and Goeb, R. (2006), “Industrial Aspects of Data Quality”, Safety and Reliability for Managing Risk, Guedes Soares, C. and Zio, E. (Eds.), Taylor & Francis Group, London, U. K., Vol. 2, pp. 949-955
The present paper discusses industrial aspects of data quality, under the “Stochastics for the Quality Movement (SQM)” concept, in order to provide a holistic data framework to define, measure and control data quality. Ten industrial aspects of data quality are presented for discussion. A review of the most relevant aspects of reliability data is presented and its link with warranty data is discussed. The paper ends with some guidelines for the construction of a holistic data quality framework.
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