关键信息
关于内容
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.
课程大纲
- Week 1 - 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. - Week 2 - Electronic Data Capture Fundamentals
This module covers standards for study processes, concepts for regulatory compliance, and electronic data capture fundamentals. - Week 3 - Planning a Data Strategy for a Prospective Study
This module reviews the process of planning data elements for a real-world research study. - Week 4 - 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. - Week 5 - 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 m... - Week 6 - 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.
教师
Stephany Duda, PhD
Associate Professor
Department of Biomedical Informatics
Paul Harris, PhD
Professor
Biomedical Informatics and Biomedical Engineering
内容设计师
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
