SQUAD goals: Assess large spatial datasets in minutes – not weeks
Accurate spatial data is a key component of health information systems. Adequately addressing many global health problems—for example, providing HIV services where they are needed most critically—requires knowing the location of points of access for interventions. The effort to establish these locations produces large spatial data sets, often encompassing tens of thousands of features such as schools, health facilities, and economic centers. Ensuring the accuracy of large data sets can be time-intensive. In this session, participants will be given a sample spatial data set and asked to identify data quality issues both manually and using the MEASURE Evaluation developed SQUAD GIS tool that can rapidly assess data quality. They can apply the lessons they learn in their work with large spatial data sets going forward.