… a model for examining data accuracy by assessing correctness and completeness. The
approach they use enhances the concordance studies not only by examining data in the clinical …

… We believe that data consumers have a much broader data quality conceptualization than …
as part of data quality. The disadvantage is that the correctness or completeness of the results …

… incrementally finding quality repairs does not make our lives easier: it is also NP-complete. …
satisfies all the CFDs (this follows from the correctness of our algorithms), it still may contain …

… most important dimensions of data quality: accuracy, completeness, consistency, and … data
accuracy and correctness, precision, reliability, currentness, age and timeliness, completeness…

… tions completeness refers to the presence or absence of individuals (or their corresponding
data … are strongly consistent if the correctness of one set implies the correctness of the other. …

… more complete information regarding trademarks and registration. … data quality than in fact
it deserves. We need education that enables designers and developers to apply data quality …

… This paper is based on the notion of data quality. It includes correctness, completeness
and … as the sum of the three context dependent aspects correctness, completeness and …

… 245 papers in the data quality domain, and in which 13 defined data quality. Most of these
… used dimensions are completeness, accuracy, correctness, consistency and timeliness. …

… of data quality … : correctness, completeness, and currency. By this we mean that these
dimensions are non-reducible, and describe core concepts of data quality as it relates to EHR data …

… characteristics like for example completeness and correctness).[14] But as of today no
integrated data quality framework with a generic, generally applicable measuring system is …