Analysis of Professional Competencies for the Clinical Research Data Management Profession

Stud Health Technol Inform. 2020 Jun 16:270:1199-1200. doi: 10.3233/SHTI200361.

Abstract

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.

Keywords: Professional competencies; SCDM; clinical data management.

MeSH terms

  • Certification
  • Data Management*
  • Humans
  • Professional Competence*
  • Surveys and Questionnaires