Tutorials on Data Management
Lesson Topics
Learning Objectives
The Data Life Cycle
Definitions
Definitions: Types of Errors
Defining QA/QC
QA/QC Before Collection
QA/QC During Data Entry
QA/QC After Data Entry
Summary
References

Summary
Data contamination is data that results from a factor not examined by the study that results in altered data values
Data error types: commission or omission
Quality assurance and quality control are strategies for
preventing errors from entering a dataset
ensuring data quality for entered data
monitoring, and maintaining data quality throughout the project
Identify and enforce quality assurance and quality control measures throughout the Data Life Cycle