Open AccessEnsuring on-time quality data management deliverables from global clinical data management teams
Author(s) -
Zia Haque
Publication year - 2010
Publication title -
perspectives in clinical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.649
H-Index - 8
eISSN - 2229-5488
pISSN - 2229-3485
DOI - 10.4103/2229-3485.71774
Subject(s) - deliverable , process management , data management , quality (philosophy) , data quality , key (lock) , quality management , computer science , operations management , business , management system , data mining , engineering , systems engineering , metric (unit) , philosophy , computer security , epistemology
The growing emphasis on off-site and off-shore clinical data management activities mandates a paramount need for adequate solutions geared toward on-time, quality deliverables. The author has been leading large teams that have been involved in successful global clinical data management endeavors. While each study scenario is unique and has to be approached as such, there are several elements in defining strategy and team structure in global clinical data management that can be applied universally. In this article, key roles, practices, and high-level procedures are laid out as a road map to ensure success with the model.