Analysis of professional competencies for the clinical research data management profession

Saly Abouelenein, Tremaine Williams, Jaime Baldner, Meredith Nahm Zozus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationDigital Personalized Health and Medicine - Proceedings of MIE 2020
EditorsLouise B. Pape-Haugaard, Christian Lovis, Inge Cort Madsen, Patrick Weber, Per Hostrup Nielsen, Philip Scott
PublisherIOS Press
Pages1199-1200
Number of pages2
ISBN (Electronic)9781643680828
DOIs
StatePublished - Jun 16 2020
Externally publishedYes
Event30th Medical Informatics Europe Conference, MIE 2020 - Geneva, Switzerland
Duration: Apr 28 2020May 1 2020

Publication series

NameStudies in Health Technology and Informatics
Volume270
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference30th Medical Informatics Europe Conference, MIE 2020
CountrySwitzerland
CityGeneva
Period4/28/205/1/20

Keywords

  • Clinical data management
  • Professional competencies
  • SCDM

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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