Sample interview questions: Can you discuss your experience with the identification and management of data discrepancies in medical device studies?
Sample answer:
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Identifying Data Discrepancies:
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Conduct thorough data validation checks to identify inconsistencies, missing data, and outliers during data entry and cleaning processes.
- Utilize statistical methods, such as data range checks, logical checks, and consistency checks, to detect potential data discrepancies.
- Implement data visualization techniques, such as box plots and scatterplots, to identify data outliers and patterns that may indicate potential issues.
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Employ data audit trails to track changes made to the data, facilitating the identification of any unauthorized modifications or errors.
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Managing Data Discrepancies:
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Develop a comprehensive data discrepancy management plan that outlines the procedures for investigating, documenting, and resolving data discrepancies.
- Conduct root cause analysis to determine the underlying causes of data discrepancies, such as data entry errors, equipment malfunctions, or issues with data collection meth… Read full answer
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