Despite the name, most datimutils functionality can be applied to any DHIS2 instance. Anyone who wants to access DHIS2 data and metadata using the R statistical programming language will benefit from this Bootcamp. To participate in this Bootcamp, participants should have a working knowledge of R and have R installed on a computer. Participants should also have an understanding of the DHIS2 data model, organization units, data elements, indicators, periods, and the Visualizer and Pivot Table apps. Participants do not need to be experienced with the DHIS2 API in order to participate. The target audience for this Bootcamp includes, but is not limited to, analysts, epidemiologists, data scientists and other R savvy data people.
The team that supports the utilization of historical programmatic data for PEPFAR’s annual target setting process, Country Operational Plans (COP), developed datimutils to make their interactions with the DATIM/DHIS2 API both as performant and as easy to write and understand as possible. For instance the datimutils’ getOrgUnits function can convert an arbitrarily long vector of organization unit UIDs to organization unit names while automatically avoiding the creation of API request strings that are too long for the server to accept. If you regularly use the dplyr package in R, datimutils can be easily nested in mutate statements to recode your metadata. In this course, let the team that developed datimutils show you how the package takes care of much of the heavy lifting when interacting with the DHIS2 API from R.
This Bootcamp will cover important topics including:
By the end of this Bootcamp you will have built a simple, interactive R-shiny application that uses datimutils to interact with a DHIS2 instance.
Participants receive access to Hopin and can browse the venue and schedule, visit expo booths, network, etc.
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.
Nicola Hobby, BAO Systems
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.