TY - GEN
T1 - Analysis of professional competencies for the clinical research data management profession
AU - Abouelenein, Saly
AU - Williams, Tremaine
AU - Baldner, Jaime
AU - Zozus, Meredith Nahm
N1 - Publisher Copyright:
© 2020 European Federation for Medical Informatics (EFMI) and IOS Press.
PY - 2020/6/16
Y1 - 2020/6/16
N2 - 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.
AB - 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.
KW - Clinical data management
KW - Professional competencies
KW - SCDM
UR - http://www.scopus.com/inward/record.url?scp=85086886283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086886283&partnerID=8YFLogxK
U2 - 10.3233/SHTI200361
DO - 10.3233/SHTI200361
M3 - Conference contribution
C2 - 32570578
AN - SCOPUS:85086886283
T3 - Studies in Health Technology and Informatics
SP - 1199
EP - 1200
BT - Digital Personalized Health and Medicine - Proceedings of MIE 2020
A2 - Pape-Haugaard, Louise B.
A2 - Lovis, Christian
A2 - Madsen, Inge Cort
A2 - Weber, Patrick
A2 - Nielsen, Per Hostrup
A2 - Scott, Philip
PB - IOS Press
T2 - 30th Medical Informatics Europe Conference, MIE 2020
Y2 - 28 April 2020 through 1 May 2020
ER -