- Level Foundation
- المدة 17 ساعات hours
- الطبع بواسطة Vanderbilt University
-
Offered by
عن
This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set. This course assumes very little current knowledge of technology other than how to operate a web browser. We will focus on practical lessons, short quizzes, and hands-on exercises as we explore together best practices for data management.الوحدات
Course Structure and Basic Concepts
1
Discussions
- What is your background in this area?
3
Videos
- How the Course Works
- Course Introduction
- Defining the Space
1
Readings
- Course Logistics
Planning Your Research Data Collection
3
Videos
- Research Data Planning 1
- Research Data Planning 2
- Approaches to Data Collection
Review
1
Assignment
- Quiz 1
1
Peer Review
- Assignment 1 - Survey Question Critique
Standardizing Processes and Data
1
Discussions
- What standards have you used?
4
Videos
- Standardization of Study Processes
- Validated Instruments
- Data Standards: What Can Standards Do for You?
- Data Standards: Basic Concepts and Overview
Regulatory Compliance
2
Videos
- IRB, HIPAA, and FISMA
- GCP and 21 CFR Part 11
Electronic Data Capture in Clinical Research
3
Videos
- Introduction to Electronic Data Capture (EDC)
- EDC Concepts: Data Exports, Logging, User Rights, Project Creation
- EDC Concepts: Data Imports, Scheduling, Reports, Internationalization
Review
1
Assignment
- Quiz 2
Example: Morphine vs. Marinol Study
1
Assignment
- Quiz 3
1
Discussions
- How have you assembled a study data management plan?
5
Videos
- Overview of the Study
- Study Procedures
- Baseline Data and Demographics
- Visit Data
- Review of Variables and Forms
Setting Up REDCap for the Morphine vs. Marinol Study
4
Videos
- Logging in to REDCap
- Walkthrough: Creating a Project and Adding the First Variables
- Walkthrough: Adding Fields to the Baseline Form
- Walkthrough: Adding File Fields and Formatting
Setting Up REDCap for the Morphine vs. Marinol Study (part 2)
1
Peer Review
- Assignment 2 - First REDCap Assignment
5
Videos
- Walkthrough: Creating Visit Forms
- Walkthrough: Copying Variables, Renaming Forms
- Walkthrough: Using the Shared Library, Longitudinal Events, Optional Modules, and User Rights
- Walkthrough: Testing the REDCap Project
- Example Study Wrap-Up
Mid-Study Activities
1
Assignment
- Quiz 4
1
Discussions
- What data quality challenges have you encountered?
4
Videos
- Mid Study Activities 1
- Mid Study Activities 2
- Data Quality
- Data Quality Monitoring
When You're Done
4
Videos
- Wrapping Up Your Study
- Sharing Your Work
- De-identifying Data
- De-identifying Dates
Data from Other Clinical Systems
1
Discussions
- What health care information systems have you worked with?
3
Videos
- Common Information Systems Used in Health Care
- Neuroimaging Data Management
- mHealth in Developing Countries
Data Management in Different Settings
5
Videos
- Data Management for Multi-Center or Network Studies
- Resource-Limited Settings and Global Health
- Challenges of Collecting Data in Resource-Constrained Settings
- Data Privacy in Global Research
- International Data Sharing
Review
1
Assignment
- Quiz 5
Data Collection using Surveys
1
Assignment
- Week 6 Quiz
4
Videos
- Benefits, Scope, and Validated Instruments
- Survey Design
- Survey Procedures and Implementation
- Survey Testing, Administration, and Analysis
Example: Ice Cream Perception Survey
1
Peer Review
- Assignment 3 - Build, Deploy, and Report on a Survey
1
Discussions
- Share Assignment 3 survey links (optional)
2
Videos
- Survey Overview and REDCap Setup
- Survey Testing and Distribution
Wrap-up
1
Videos
- Thank you for participating!
Auto Summary
"Data Management for Clinical Research" is a foundational course in IT & Computer Science, led by Coursera. It focuses on key concepts and practical methods for planning, collecting, storing, and sharing clinical research data. Tailored for beginners, it includes practical lessons, quizzes, and hands-on exercises. The course spans 1020 minutes and offers Starter, Professional, and Paid subscription options. Ideal for those looking to enhance their data management skills in the scientific research field.

Stephany Duda, PhD

Paul Harris, PhD