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Traditional data quality engineering techniques, often used and deployed within a single enterprise environment, are inadequate to cope with the rapid change of data, with a multitude of quality degrees, to be used in contemporary business models. The emerging cloud computing paradigm could potentially offer high-quality, composable data and techniques, under the Software-as-a-Service (SaaS), Data-asa-Service (DaaS) and crowdsourcing models, for data quality engineering and data publishing.doi:10.1109/soca.2010.5707184 dblp:conf/soca/ComerioTBD10 fatcat:lhhzejv37bajhevowmtkkleq5i