Recruiter's Glossary

Examples: Medical Writing • Database Lock • Safety Monitoring

Data Management

Term from Clinical Trials industry explained for recruiters

Data Management in clinical trials is the process of collecting, organizing, and maintaining research information in a way that's accurate and easy to use. It's like being the guardian of all the important information collected during medical research studies. Data Managers make sure all the information from patient records, test results, and research forms is properly recorded, checked for accuracy, and stored safely. They use special computer systems called Clinical Data Management Systems (CDMS) or Electronic Data Capture (EDC) systems to keep everything organized. This role is crucial because the information they handle helps determine if new medicines or treatments are safe and effective.

Examples in Resumes

Oversaw Data Management for 15 Phase III clinical trials across multiple therapeutic areas

Led Clinical Data Management team of 5 members for oncology studies

Implemented new Data Management processes that reduced query resolution time by 40%

Performed Clinical Trial Data Management for 20+ international studies

Typical job title: "Clinical Data Managers"

Also try searching for:

Clinical Data Manager Data Management Associate Clinical Data Management Lead EDC Manager Clinical Database Manager Data Operations Manager Clinical Research Data Manager

Where to Find Clinical Data Managers

Professional Organizations

Job Boards

• ClinicalTrials.gov Careers
• BioCareers
• LinkedIn Clinical Data Management Jobs

Professional Networks

Example Interview Questions

Senior Level Questions

Q: How would you handle a situation where you discover data inconsistencies in a nearly completed clinical trial?

Expected Answer: A strong answer should include creating an action plan, assessing the impact on study results, documenting the issue, communicating with stakeholders, and implementing corrective measures while following regulatory guidelines.

Q: What strategies have you implemented to improve data quality in clinical trials?

Expected Answer: Should discuss implementing standard operating procedures, training programs, quality control checks, automated validation rules, and regular team reviews of data entry processes.

Mid Level Questions

Q: What are the key steps in creating a Data Management Plan for a clinical trial?

Expected Answer: Should explain planning data collection methods, creating data entry guidelines, setting up quality control processes, and establishing timeline for data reviews and database lock.

Q: How do you ensure data consistency across multiple study sites?

Expected Answer: Should mention standardized training for site staff, regular monitoring of data entry, consistent communication with sites, and use of standardized forms and processes.

Junior Level Questions

Q: What is a Data Query and how do you handle it?

Expected Answer: Should explain that queries are questions about data that seems incorrect or unclear, and describe the basic process of reviewing, investigating, and resolving these questions with study sites.

Q: What are the basic elements of Good Clinical Practice (GCP) in data management?

Expected Answer: Should discuss accuracy in data entry, maintaining patient confidentiality, proper documentation, and following standard operating procedures.