Module 1: Fundamentals of Data Management
This self-guided course is designed to outline basic data management concepts and demonstrate how data managers, or other study team members, can work to improve data quality. You will learn to speak the language of data management and discover how the concepts presented can be applied to the everyday management of research data.
No prior data management experience or technical background is necessary.
While the primary audience for this course is any member of a study team at U-M who is new to research or new to data management, anyone with a U-M Level 1 account is more than welcome to take it.
This module will
Define fundamental data management terms
Outline data management processes
Identify tools commonly used by data managers
How to Access This Course
This course is free and can be found in the MICHR Catalog on the My LINC learning platform.
This course is part of the Research Basics series. Other courses in this series include:
Best Practices in Clinical Research: Good Clinical Practice and Essential Documents