Term: Data Quality
Last Updated: 2006-03-30
The quality of data is measured according to its reliability and validity; the completeness and accuracy of a data set. It is usually measured by comparing the data set to another data set identified as the "gold standard", and assessing the level of agreement. For example, linking with a data source such as census data, vital statistics, or surveys to determine missing information.
Roos LL, Nicol JP.
A research registry: uses, development, and accuracy.
J Clin Epidemiol
1999;52(1):39-47. [Abstract] (View)
Roos LL, Gupta S, Soodeen RA, Jebamani L.
Data quality in an information-rich environment: Canada as an example.
Can J Aging
2005;24 Suppl 1(Suppl 1):153-170. [Abstract] (View)
Roos LL, Mustard CA, Nicol JP, McLerran DF, Malenka DJ, Young TK, Cohen MM.
Registries and administrative data: organization and accuracy.
1993;31(3):201-212. [Abstract] (View)
Manitoba Health Care Studies and their Policy Implications (Report #91-04-01).
Manitoba Centre for Health Policy and Evaluation,
1991. [Report] (View)
Term used in
Lix L, Smith M, Azimaee M, Dahl M, Nicol P, Burchill C, Burland E, Goh C, Schultz J, Bailly A.
A Systematic Investigation of Manitoba's Provincial Laboratory Data.
Manitoba Centre for Health Policy,
2012. [Report] [Summary] (View)