This document summarizes a module on managing missing data to maintain data quality. It explains how to plan for missing data by defining different types and documenting reasons for missing values. The module teaches how to minimize missing data and develop procedures to record why data is missing. Its learning objectives are for students to understand why missing data should be reduced and how to code the reasons for missing values.