Target audience

‍This is a great session for DHIS2 users who want to learn about methods to improve data quality and how to bring issues directly to the user. To participate in this Bootcamp, participants should have an understanding of DHIS2 meta-data objects including: data elements, indicators, data sets, and organization units. It is also recommended that participants be familiar with basic visualization building in the DHIS2 Data Visualizer app in version 2.36. The target audience for this Bootcamp includes, but is not limited to, program managers, monitoring and evaluation staff, donors, and system administrators. 

Key skills you will gain

• Deeper understanding of common data quality issues 
• Learn tools to improve data quality 
• Outlier analysis using the WHO Data Quality (DQ) app and Data Visualizer app
• Automated DQ alerts and notifications using validation rules
• Real-time data quality dashboards for routine data quality checks
  

Course description

In this Bootcamp, you will learn about the various tools in DHIS2 to bring data quality analytics, alerts, and notifications directly to the users that can address them. Data quality issues have been hidden from the lowest level users for decades, but now the veil can be lifted and users at the lowest levels can easily be informed about any data quality issues in nearly real-time. This Bootcamp will cover the latest features of DHIS2 and the WHO guidelines to see real-world examples of DHIS2 data quality functionality. These functionalities can be harnessed to bring data quality issues directly to the user, making it much more actionable for the users to address data quality issues. It also promotes routine data quality reviews which are understood to be more effective at catching issues than periodic national data quality reviews.

This Bootcamp will cover important topics including: 

• DHIS2 tools to improve data quality 
• The latest features of DHIS2 and the WHO guidelines
• Functionality of the WHO Data Quality application
• Outlier detection using the Data Visualizer application
• Setting up automated validation rule data quality checks and notifications
• Guidance on configuring DHIS2 DQ dashboards for real-time data quality checks
  

Training highlight

‍Learn how to harness the tools in DHIS2 to bring data quality directly to the user.

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