Last Updated: 2012-04-20
"... is the degree to which the information correctly describes the phenomena it was designed to measure. It is usually characterized in terms of error in statistical estimates and is traditionally decomposed into bias (systematic error) and variance (random error) components. It may also be described in terms of the major sources of error that potentially cause inaccuracy (e.g., coverage, sampling, nonresponse, response)".
Source: Statistics Canada. "Data Quality Guidelines - Defining Quality" web page - http://www.statcan.gc.ca/pub/12-539-x/4147797-eng.htm - accessed April 20th, 2012.
Note that for a database-specific quality assessment, measures of accuracy are applied to the entire database; whereas for a project-specific assessment, they are applied to the cohort, region, or time period that is the focus of the project. (Lix et al., 2012).
- Data Quality Framework
- Database-Specific Quality
- Predictive Accuracy
- Project-Specific Quality
- Validity - Data Quality
- Validity - Statistical
- Statistics Canada. Data quality guidelines - Defining quality. Retrieved from: http://www.statcan.gc.ca/pub/12-539-x/4147797-eng.htm. Accessed April 20, 2012.(View)
- Garland A, Fransoo R, Olafson K, Ramsey C, Yogendran M, Chateau D, McGowan K. The Epidemiology and Outcomes of Critical Illness in Manitoba. Winnipeg, MB: Manitoba Centre for Health Policy, 2012. [Report] [Summary] (View)
- 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. Winnipeg, MB: Manitoba Centre for Health Policy, 2012. [Report] [Summary] (View)
Manitoba Centre for Health Policy
Community Health Sciences, Max Rady College of Medicine,
Rady Faculty of Health Sciences,
Room 408-727 McDermot Ave.
University of Manitoba
Winnipeg, MB R3E 3P5 Canada