Recently, the Data Use Network shared Data Visualization That Works: Facilitating HIV Program Targeting, a paper that provides an overview of three case studies on data visualization in action.
We often share examples of data viz work that we admire (or are confused by) but it's great to see more research around the driven factors behind successful visualizations in our health programs.
The authors found that in order to create a successful data visualization for decision making, several things are necessary:
- Collaboration between data users and data producers,
- Flexibility in the development of proxy indicators through estimation or modelling techniques,
- Training on data visualization interpretation,
- Standardized data sources,
- High quality data, and
- Software sustainability.
The full text of the paper can be found here.