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Analysis of Professional Competencies for the Clinical Research Data Management Profession
Saly Abouelenein1, Tremaine Williams1, Jaime Baldner1
1University of Arkansas for Medical Sciences, Little Rock Arkansas, USA.
Objective:
This job analysis was conducted to compare, assess and refine the competencies of the clinical research data management profession.
Materials And Methods:
Two questionnaires were administered in 2015 and 2018 to collect information from data managers on professional competencies, types of data managed, types of studies supported, and necessary foundational knowledge.
Results:
In 2018 survey, 67 professional competencies were identified. Job tasks differed between early- to mid-career and mid- to late-career practitioners. A large variation in the types of studies conducted and variation in the data managed by the participants was observed.
Discussion:
Clinical research data managers managed different types of data with variety of research settings, which indicated a need for training in methods and concepts that could be applied across therapeutic areas and types of data.
Conclusion:
The competency survey reported here serves as the foundation for the upcoming revision of the Certified Clinical Data Manager (CCDMTM) exam.
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