Transform Tracker Data with the Program Dataset Connector (PDAC) App
Target audience
This is a great session for DHIS2 users who want the ability to transform tracker data into aggregate data sets using the PDAC application. Basic familiarity with DHIS2 data models and configuration is essential. Participants do not require advanced working knowledge but some appreciation of foundational concepts and terminology is beneficial. The target audience for this Bootcamp includes, but is not limited to, program managers, monitoring and evaluation staff, and system administrators.
Key skills you will gain
- Learn how to use tracker data to populate aggregate data sets
- Ability to break down data in new ways and easily create breakdowns on potentially complex indicators
Course description
When working on a DHIS2 tracker implementation project, Pete Linnegan was inspired to create the Program Dataset Connector (PDAC) application out of a need to automate the process of transferring data from the tracker to the aggregate data model. The PDAC application simplifies and automates the process of creating and maintaining a mapping of program indicators to different data element disaggregations within data sets. With PDAC, users can now connect the power of program indicators from the tracker data model with the power of disaggregations in the aggregate data model. Because of PDAC, more complex analysis on tracker and event programs is now possible using categories as data dimensions in a way which cannot be done using the tracker configuration alone. In this Bootcamp, you will learn how to link together tracker and aggregate data models with PDAC. Pete will provide an in depth overview of the PDAC application and explain how to break down data in ways that was never possible before PDAC.
This bootcamp will cover important PDAC topics including:
- DHIS2 PDAC configuration
- Data transfer
- Custom disaggregations
- Program indicators
- Mapping
- Metadata creation
- Category option filters
Training highlight
Learn how to apply custom disaggregations to program indicators and improve analytic capability in DHIS2.
Explore sessions
Digital Doors Open
Welcome Remarks
Digital Doors Open
Participants receive access to Hopin and can browse the venue and schedule, visit expo booths, network, etc.
Welcome Remarks
Message from the Organizers: • Nicola Hobby, BAO Systems • Lars Helge Overland, HISP UiO
DHIS2 for Routine Education Data Management and Emergency Response: Uganda Use Cases
Improving Routine Data & Clinical Quality with DHIS2
DHIS2 for Donors
While donors have long supported the use of DHIS2 for projects and implementing partners, more and more donors have adopted DHIS2 as an internal reporting system. In this panel, we’ll bring a group of donor representatives together to discuss how DHIS2 adoption has supported their internal data management needs. We’ll also touch on how this adoption has helped to better align with Government and implementing partners.
Wanda: Assessing User Satisfaction on Using a DHIS2 Android Based Data Management System in Low Resource Settings
Global Alignment Across DHIS2-based Systems for Integrated Vector Control Data Use
The Many Ways to Slice a (Juicy Historical Data) Pie: Exploring and Comparing 4 Tools to Import Historical Data
Augmenting DHIS2 with Commercial Software
DHIS2 as an open-source product has had incredible success across the development sector. However, no one software can be everything for everyone. In this panel, we’ll look at three different use cases to show how various organizations have augmented open-source DHIS2 with a commercial software, and why this approach can provide best in class solutions for a variety of use cases.
Using DHIS2 as a National NTD Database to Extend Routine Data Collected by HMIS
Using a Collaborative Action Model to Ensure Data-driven Decision Making in Haiti
Development and Rollout of a Standardized DHIS2 Tracker Metadata Package for HIV Programs
