10+ Clinical Data Manager Interview Questions and Answers

Queries in Rave database can be generated using the query tool within the system.

• Access the query tool within the Rave database system.

• Select the form and field for which you want to generate a query.

• Define the query criteria and save it within the system.

• Review and address any generated queries to ensure data accuracy.

• Close the query once the issue is resolved.

Antibiotics are drugs used to treat bacterial infections. Diabetes drugs help manage blood sugar levels. Hypertension drugs control high blood pressure. DM stands for Diabetes Mellitus. Hypertension is high blood pressure.

• Antibiotics are used to treat bacterial infections, such as amoxicillin and azithromycin.

• Diabetes drugs help manage blood sugar levels, such as metformin and insulin.

• Hypertension drugs control high blood pressure, such as lisinopril and losartan.

• DM stands fo...read more

CRF stands for Case Report Form. It is a document used in clinical trials to record data from each participant.

• CRF is a standardized form designed to collect specific data points for each participant in a clinical trial

• It includes information such as demographics, medical history, treatment received, and any adverse events

• Queries are questions or clarifications raised by data managers or monitors regarding the information recorded on the CRF

• Queries are used to ensure accuracy...read more

SAE reconciliation involves comparing serious adverse events reported in clinical trials with data from other sources to ensure accuracy and completeness.

• SAE reconciliation is a crucial step in clinical data management to ensure patient safety and data integrity.

• It involves comparing SAE data reported in clinical trial databases with information from other sources such as medical records or safety databases.

• Reconciliation discrepancies may lead to protocol deviations, delays ...read more

Large CROs have more resources and global reach, while small CROs offer more personalized service and flexibility.

• Large CROs typically have more resources for conducting large-scale clinical trials

• Small CROs may offer more personalized service and flexibility in adapting to client needs

• Large CROs often have a global reach with offices in multiple countries

• Small CROs may have a more focused expertise in specific therapeutic areas

• Large CROs may have established relationships wi...read more

SAE reconciliation is the process of comparing and resolving discrepancies between different sources of serious adverse event data.

• SAE reconciliation involves comparing data from different sources, such as case report forms and safety databases.

• The goal is to identify and resolve any discrepancies or inconsistencies in the reported serious adverse events.

• This process ensures data accuracy and integrity in clinical trials and helps in generating reliable safety reports.

• Example...read more

Phase activities in CDM involve data collection, cleaning, validation, and analysis to ensure accuracy and integrity of clinical trial data.

• Data collection: Gather information from various sources such as case report forms, electronic health records, and laboratory reports.

• Data cleaning: Identify and resolve discrepancies, errors, and missing data to ensure data quality.

• Data validation: Perform quality checks to ensure data accuracy and consistency.

• Data analysis: Analyze the ...read more

My core value is integrity, as I believe in always being honest, ethical, and transparent in my work.

• Honesty and transparency in all data management processes

• Adherence to ethical guidelines and regulations

• Maintaining confidentiality and privacy of patient information

• Ensuring accuracy and reliability of clinical data

• Building trust with colleagues and stakeholders

End to end CDM activities involve managing clinical trial data from start to finish.

• Designing data collection forms

• Data entry and validation

• Database lock and analysis

• Ensuring data quality and integrity

• Adhering to regulatory requirements

• Collaborating with cross-functional teams

I have experience working with local labs to ensure accurate and timely data collection.

• Coordinated with local labs to establish data transfer protocols

• Reviewed lab data for completeness and accuracy

• Communicated with study team to address any discrepancies or issues

• Ensured compliance with regulatory requirements

• Trained local lab staff on study-specific procedures