Table 1

Terms used in the literature to describe the five common dimensions of data quality

CompletenessCorrectnessConcordancePlausibilityCurrency
AccessibilityAccuracyAgreementAccuracyRecency
AccuracyCorrections madeConsistencyBelievabilityTimeliness
AvailabilityErrorsReliabilityTrustworthiness
MissingnessMisleadingVariationValidity
OmissionPositive predictive value
PresenceQuality
QualityValidity
Rate of recording
Sensitivity
Validity
CompletenessCorrectnessConcordancePlausibilityCurrency
AccessibilityAccuracyAgreementAccuracyRecency
AccuracyCorrections madeConsistencyBelievabilityTimeliness
AvailabilityErrorsReliabilityTrustworthiness
MissingnessMisleadingVariationValidity
OmissionPositive predictive value
PresenceQuality
QualityValidity
Rate of recording
Sensitivity
Validity
Table 1

Terms used in the literature to describe the five common dimensions of data quality

CompletenessCorrectnessConcordancePlausibilityCurrency
AccessibilityAccuracyAgreementAccuracyRecency
AccuracyCorrections madeConsistencyBelievabilityTimeliness
AvailabilityErrorsReliabilityTrustworthiness
MissingnessMisleadingVariationValidity
OmissionPositive predictive value
PresenceQuality
QualityValidity
Rate of recording
Sensitivity
Validity
CompletenessCorrectnessConcordancePlausibilityCurrency
AccessibilityAccuracyAgreementAccuracyRecency
AccuracyCorrections madeConsistencyBelievabilityTimeliness
AvailabilityErrorsReliabilityTrustworthiness
MissingnessMisleadingVariationValidity
OmissionPositive predictive value
PresenceQuality
QualityValidity
Rate of recording
Sensitivity
Validity
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