The academy will review methods to identify and investigate data quality issues using DHIS2, with a focus on aggregate data. Additional discussions on preventing and monitoring data quality issues using different methods will also be take place.
By the end of the DHIS2 Data Quality Academy, you’ll be able to:
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Identify key data quality issues in DHIS2 — including data element completeness, facilities consistently reporting, consistency over time, denominators, and outliers
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Analyze the root causes behind common data quality challenges using built-in DHIS2 tools and dashboards
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Apply the DHIS2 Data Quality Toolkit to monitor and interpret changes in data quality metrics over time
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Evaluate which preventive measures are most effective in improving data quality in your context
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This training targets DHIS2 technical leads and implementation support personnel that will be configuring and supporting tracker directly
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The training is meant to provide an overview of a number of different tracker features and discuss how to implement them in practice
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This academy does not focus on project planning or broader management issues; consider the level 2 tracker implementation management academy or scheduling in-country tracker trainings
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This academy works under the assumption that you have experience using the maintenance app and have configured, at minimum, an event program before
This training targets DHIS2 technical leads and implementation support personnel that will be configuring and supporting tracker directly
The training is meant to provide an overview of a number of different tracker features and discuss how to implement them in practice
This academy does not focus on project planning or broader management issues; consider the level 2 tracker implementation management academy or scheduling in-country tracker trainings
This academy works under the assumption that you have experience using the maintenance app and have configured, at minimum, an event program before