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Data Validation and Query Management

Data validation and query management are important components of clinical data management in clinical trials.

  1. Data Validation: This is the process of checking the accuracy, consistency, and completeness of the data. This may include checks for missing data, inconsistent data, and data entry errors, as well as reconciliation of data from different sources, such as laboratory results and electronic data capture systems.
  2. Query Management: This is the process of identifying, tracking, and resolving data discrepancies or inconsistencies in a clinical trial database. Queries are raised when data does not meet the predefined criteria or when there is a discrepancy between different sources of data. The goal of query management is to ensure that the data is accurate, consistent, and complete.

Data validation and query management are essential for ensuring the quality and reliability of clinical trial data. Adherence to systematic data validation and query management processes helps to minimize errors and biases in the data and increase confidence in the results of the clinical trial. Effective query management also helps to ensure that the data is complete and up-to-date, making it more accessible and usable for analysis and decision-making.

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