DHIS version 2.28 is out with many new features, apps and improvements.
Log in with admin/district on the demo system.
Measure criteria support in pivot tables: Pivot table app now supports measure criteria, meaning criteria to apply to the data being returned, such as a min and max value. Can be enabled in the Options dialog.
Multiple regression types in charts: Data visualizer and event visualizer apps now supports a new option for linear, polynomial and loess regression types (trend lines). Can be enabled in the Options dialog.
Remove gaps in bar/column charts: Data visualizer and event visualizer apps now support an option for displaying bar/column charts without gaps between the bars/columns. Can be enabled in the Options dialog.
Daily relative periods in event analytics: Various daily relative periods are now supported in event reports and event visualizer.
Share favorites with users: Analytics favorites can now be shared with individual users in addition to user groups. This is useful for more flexible sharing and removes the need for always creating a group.
Favorite filter for “Created by me”: You can now easily filter your favorites with the new “Created by me”/”Created by others” filter, available in all the analytics apps.
Sort favorites by created and last updated: Analytics favorites can now be sorted by the date they were created and the date they were last updated.
Combine totals and details in pivots: Total values and details (operands) can now be combined in pivot tables and charts.
Indicator totals in pivots: The pivot table app now calculates total and subtotal values in a better way, dividing the sum of numerator values with the sum of denominator values multiplied by the average of indicator factors.
Compare to previous event during data entry: You can now choose to compare the current data entry for an event with previously completed events. This option is available when doing data entry for a new event in tracker capture.
Tracker and event capture with time, datetime and URL value types: Tracker and event capture apps now support the “Time”, “Datetime” and “URL” data element value types.
Persist validation results: Validation results (violations) can now be persisted. You can also access validation results in the analytics API, meaning counts of validation violations.
Skip form validation for validation rules: Validation rules can now be configured to not be triggered during data entry. This is particularly useful for surveillance-based validation rules.
Validate specific organisation unit levels: Validation rules can now be assigned to zero, one or more organisation unit levels. During evaluation, the rules will only be evaluated for the selected levels, or all levels if no levels have been specified.
Data element support for program stage notifications: Program stage notifications can now use available data elements in their templates.
Apps cloud storage: Apps will now be stored in your cloud storage if the instance is configured to utilize cloud storage. Existing apps installed locally will still work, but new apps will be installed in a different directory or in the cloud storage based on instance configuration. This is helpful in cluster setups for shared apps, as well as providing for unlimited storage of apps.
Import group membership in CSV: Group membership for organisation unit group, data element groups and indicator groups can now be imported as CSV. Both group and member object must exist in the system.
Updated app store in app management: The app manager app in DHIS will now dynamically fetch apps available for installation from the new app store API. You can find the new app store at play.dhis2.org/appstore.
AMQP/RabbitMQ for metadata change notifications: External applications can now subscribe and listen in real time to metadata changes by setting up and utilizing the RabbitMQ capabilities added to DHIS. These changes includes creation, updates and deletion of all metadata objects.
Creating, updating and deleting SMS commands: CRUD operations for SMS commands are now available in the API.
Metadata export inclusionStrategy: The inclusion strategy parameter on metadata export allows for fine grained property inclusion control.
Default category exclusion support: Default category objects can now be excluded on metadata export. The system will now handle the absence of default category objects during metadata import.
Download release and sample database
Documentation and Javadocs
Details about each feature on JIRA
Overview of fixed issues
Source code on Github
Instructions for signing up for DHIS 2 mailing lists
Enjoy the new release.
The DHIS2 development team