Data Management Validation (DMV) and quality assurance

A discrepancy-management process is designed to minimize both cost and time for database creation and validation and to ensure data quality and completeness.

Data validations are developed based on the data management / data validation plan and data specifications. They include several types of listings as well as queries. They cover, and are not limited to, the verification of out-of-range values and inconsistencies between data and protocol compliance checks.

The DMV also include a quality control of database (determination of error rate).

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