DHIS2 is designed as a flexible, configurable platform for collecting, storing, visualizing and analyzing data of any kind. But how do we generate meaningful information from a DHIS2 database? And how can DHIS2 be configured to meet the complex requirements of a specific use case or health program?
“Metadata” is data that gives information about other data. Within DHIS2, metadata provides structural information that is used to classify data and define the configuration. This includes information on where, when and what data are collected, categorization and grouping of data elements, structure of forms and workflows, and analytical outputs such as indicators, charts, maps and dashboards. Metadata in DHIS2 are fully customizable, which allows the platform to be used in a wide variety of contexts —including health, immunization, education, logistics, agriculture, sanitation and more — as each system owner can customize DHIS2 to meet their needs.
DHIS2 metadata packages allow implementers to fast-track their implementation by installing templates for a given use case rather than starting from a blank slate. For example, a Ministry of Health adopting DHIS2 for a specific health program can start with WHO-recommended data elements, indicators and dashboard visualizations. Official HISP-UiO metadata packages promote optimal system design based on decades of learning from real-world learning and local innovations. On this page, you can learn more about the DHIS2 metadata packages produced by HISP UiO, and find links to demos, documentation and supporting materials.