We’re excited to launch short tutorials extracted from the recent online Data Quality Academy recordings! These hands-on videos teach practical techniques to detect, investigate, and prevent data quality issues in DHIS2 aggregate data.
The first batch of tutorials covers the complementary metrics of dataset and data element completeness. You’ll understand what makes datasets complete, learn to mark them as complete in DHIS2, and visualize completeness plus timeliness using pivot tables in the Data Visualizer App, while also reviewing individual data element completeness by comparing received values against expected totals.
Over the coming weeks, we will be releasing other Data Quality tutorials on our website, and sharing them with you here as well!
Check https://dhis2.org/tutorials/ for more!