DQA

(redirected from Data Quality Assessment)
AcronymDefinition
DQADirection de la Qualité (French: Directorate of Quality)
DQADevelopment Quality Assurance (various organizations)
DQAData Quality Assessment
DQAData Quality Act
DQAdata quality assurance
DQADirector Quality Assurance
DQADiagonal Quadratic Approximation
DQADelivery Quality Assurance
DQADepartment of Quality Assurance
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References in periodicals archive ?
RBQM strategy depends on who oversees the monitoring activities, Because "the ultimate responsibility for the quality and integrity of the trial data always resides with the sponsor/'the sponsor should perform independent regular Data Quality Assessments (Risk Control).This is more than compliancy checks (i.e.
* Team Review capability -review assigned monitoring rules and collaborate through a workflow process to collectively perform a comprehensive data quality assessment
Cappiello, C., Francalanci, C., & Pernici, B, "Data quality assessment from the user's perspective", Proceedings of the 2004 international workshop on Information quality in information systems, Jun 2004.
First, the self-report questionnaire sought the opinions of ICU directors as well as requiring a data quality assessment that was not crosschecked or validated.
Data Quality Assessment. Communications of the ACM, Vol.
Informatica has bundled its Data Loader, Data Replication, and Data Quality Assessment Services together into the Informatica On Demand Data Integration Suite.
Innovative expanded its Data Quality Assessment service in response to growing executive-level focus on data quality and the recognition, especially within the financial services industry, that data accuracy and integrity are critical to compliance with legislative and regulatory mandates such as USA PATRIOT Act, Sarbanes-Oxley, BaseIII and Gramm-Leach-Bliley.
Leuven), and is a member of the central co-ordination team of the European Social Survey, where his task is data quality assessment. His main methodological research is focused on response effects and the modelling of measurement error in social surveys.
Data quality assessment programs are needed to determine what the quality of data is before it is deployed, as well as to determine whether corrective actions are working.
Finally, the error types labeled target error classes that define the goal of data quality assessment can be associated with the accounts (for example, error classes C, E and V with Purchases).
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