关于此课程： 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.
制作方： Vanderbilt University
教学方： Stephany Duda, PhD, Associate Professor
Department of Biomedical Informatics教学方： Paul Harris, PhD, Professor
Biomedical Informatics and Biomedical Engineering
| 级别 | 初级 |
| 承诺学习时间 | 6 weeks of study, 2-4 hours per week |
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
授课大纲
第 1 周
Research Data Collection Strategy
This introductory module reviews the course structure and basic concepts in clinical research. We also discuss best practices for designing your clinical research data collection.
6 个视频, 1 个阅读材料
- 视频: Course Introduction
- 视频: Defining the Space
- Leyendo: Course Logistics
- Cuadro de aviso de la discusión: What is your background in this area?
- 视频: Research Data Planning 1
- 视频: Research Data Planning 2
- 视频: Approaches to Data Collection
已评分: Quiz 1
已评分: Assignment 1 - Survey Question Critique
第 2 周
Electronic Data Capture Fundamentals
This module covers standards for study processes, concepts for regulatory compliance, and electronic data capture fundamentals.
9 个视频
- 视频: Validated Instruments
- 视频: Data Standards: What Can Standards Do for You?
- 视频: Data Standards: Basic Concepts and Overview
- Cuadro de aviso de la discusión: What standards have you used?
- 视频: IRB, HIPAA, and FISMA
- 视频: GCP and 21 CFR Part 11
- 视频: Introduction to Electronic Data Capture (EDC)
- 视频: EDC Concepts: Data Exports, Logging, User Rights, Project Creation
- 视频: EDC Concepts: Data Imports, Scheduling, Reports, Internationalization
已评分: Quiz 2
第 3 周
Planning a Data Strategy for a Prospective Study
This module reviews the process of planning data elements for a real-world research study.
9 个视频
- 视频: Study Procedures
- 视频: Baseline Data and Demographics
- 视频: Visit Data
- 视频: Review of Variables and Forms
- Cuadro de aviso de la discusión: How have you assembled a study data management plan?
- 视频: Logging in to REDCap
- 视频: Walkthrough: Creating a Project and Adding the First Variables
- 视频: Walkthrough: Adding Fields to the Baseline Form
- 视频: Walkthrough: Adding File Fields and Formatting
已评分: Quiz 3
第 4 周
Practicing What We've Learned: Implementation
This week, we set up an Electronic Data Capture (EDC) instrument in REDCap for the Morphine vs. Marinol Study. We also review data processes that occur during the running of a study, including an overview of key data quality operations.
9 个视频
- 视频: Walkthrough: Copying Variables, Renaming Forms
- 视频: Walkthrough: Using the Shared Library, Longitudinal Events, Optional Modules, and User Rights
- 视频: Walkthrough: Testing the REDCap Project
- 视频: Example Study Wrap-Up
- 视频: Mid Study Activities 1
- 视频: Mid Study Activities 2
- 视频: Data Quality
- 视频: Data Quality Monitoring
- Cuadro de aviso de la discusión: What data quality challenges have you encountered?
已评分: Assignment 2 - First REDCap Assignment
已评分: Quiz 4
第 5 周
Post-Study Activities and Other Considerations
In this week, we cover activities to wrap up your study and share data and results, as well as two lectures on other electronic sources of data that can be used in research. In response to learner requests, we've also added several lectures on clinical data management in resource-limited settings, in collaboration with research colleagues from Indiana University. This is a long week of videos, but next week will be short on videos in exchange!
12 个视频
- 视频: Sharing Your Work
- 视频: De-identifying Data
- 视频: De-identifying Dates
- 视频: Common Information Systems Used in Health Care
- 视频: Neuroimaging Data Management
- 视频: mHealth in Developing Countries
- Cuadro de aviso de la discusión: What health care information systems have you worked with?
- 视频: Data Management for Multi-Center or Network Studies
- 视频: Resource-Limited Settings and Global Health
- 视频: Challenges of Collecting Data in Resource-Constrained Settings
- 视频: Data Privacy in Global Research
- 视频: International Data Sharing
已评分: Quiz 5
第 6 周
Data Collection with Surveys
In the final week, we cover how to collect data using surveys and review an example together. This week's assignment includes designing, distributing, and reporting on your own survey.
7 个视频
- 视频: Survey Design
- 视频: Survey Procedures and Implementation
- 视频: Survey Testing, Administration, and Analysis
- 视频: Survey Overview and REDCap Setup
- 视频: Survey Testing and Distribution
- Cuadro de aviso de la discusión: Share Assignment 3 survey links (optional)
- 视频: Thank you for participating!
已评分: Week 6 Quiz
已评分: Assignment 3 - Build, Deploy, and Report on a Survey
常见问题解答
运作方式
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
制作方
Vanderbilt University
Vanderbilt University, located in Nashville, Tenn., is a private research university and medical center offering a full-range of undergraduate, graduate and professional degrees.
评分和审阅
This is a great introductory course to data management for clinical research. It is very well structured and the lectures (and lecturers) are all very clear and easy to follow. Step by step, you are guided through the main principals of data management in the field of clinical research. This is my first course through Coursera, and I'm very excited to check what other courses they offer (-:
Extremely helpful :)
Thank You for a very useful course!
.