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Free Course: Data Management for Clinical Research

  • 29 Mar 2013
  • 02 Apr 2013
  • Online

Data Management for Clinical Research

Paul A. Harris, Stephany Duda, Firas Wehbe

Learn critical concepts and practical methods to support research data planning, collection, storage and dissemination.

Next Session:
April 2013 (6 weeks long) Sign Up
Workload: 2-4 hours/week 
  https://www.coursera.org/course/datamanagement

About the Course

This course is designed to teach important concepts related to research data planning, collection, storage and dissemination. Instructors will offer information and best-practice guidelines for 1) investigator-initiated & sponsored research studies, 2) single- & multi-center studies, and 3) prospective data collection & secondary-reuse of clinical data for purposes of research. The curriculum will balance theoretical guidelines with the use of practical tools designed to assist in planning and conducting research. Real-world research examples, problem solving exercises and hands-on training will ensure students are comfortable with all concepts.  

About the Instructor(s)

Paul Harris, PhD, is an associate professor of biomedical informatics and biomedical engineering with approximately 15 years’ experience working in in the field of clinical research informatics.  Dr. Harris services as Director of the Vanderbilt Office of Research Informatics and specializes in building innovative software platforms to support the research enterprise.  He is creator and faculty lead for REDCap - a flexible web-based data management software platform, and the REDCap consortium - a  network of 462 academic and non-profit partner sites from 49 countries using the REDCap software platform (www.project-redcap.org).  Dr. Harris has extensive experience teaching short-courses in data management and translational research within the United States, Japan and China.


Stephany Duda, PhD, is an assistant professor in the Department of Biomedical Informatics at Vanderbilt University. Her work focuses on clinical research informatics and global health informatics, particularly issues in data capture, data quality, and international observational databases.


Firas Wehbe, MD, PhD is an assistant professor in the Department of Biomedical Informatics at Vanderbilt University.  Dr. Wehbe is a physician trained in biomedical informatics and his research areas include: data harmonization and distributed analysis in large clinical research datasets, tools and models for online collaboration and knowledge management, and information retrieval from biomedical literature using machine learning and other automated methods.

Recommended Background

A general interest in medical research (any scientific domain) and basic computer skills.

Course Format

The class will consist of lecture videos, which are between 10 and 20 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homeworks and data exercises that are not part of video lectures, optional programming assignments, and a (not optional) final exam.

FAQ

  • What resources will I need for this class?  
For this course, you will need: 1) an Internet connection; 2) software package capable of generating table-based CSV files (e.g. Microsoft Excel, Google Docs, Numbers); and 3) and an install of the open-source R programming platform.

  • Why should I take this class? 
Data drives medical research and medical research drives scientific findings that ultimately result in improving human health.  This course will enable you to be play an integral part in the process.



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