Chapter 13. Data Quality

Table of Contents

13.1. Measuring data quality
13.2. Reasons for poor data quality
13.3. Improving data quality
13.4. Using DHIS2 to improve data quality
13.4.1. Data input validation
13.4.2. Min and max ranges
13.4.3. Validation rules
13.4.4. Outlier analysis
13.4.5. Completeness and timeliness reports

This chapter discusses various aspects related to data quality.

13.1. Measuring data quality

Is the data complete? Is it collected on time? Is it correct? These are questions that need to be asked when analysing data. Poor data quality can take many shapes; not just incorrect figures, but a lack of completeness, or the data being too old (for meaningful use).