A Change Management Dashboard for the SIEMA Global Malaria Surveillance Infrastructure

Malaria is an infectious disease that remains a major cause of death in low-income developing countries. The World Health Organization (WHO) has set a target for its eradication by 2030. Among the issues that will have to be solved to achieve this goal is interoperability between the various malaria data sources. This can be achieved through the adoption of semantic web service infrastructure to provide access to the data while abstracting its structure. Given that data sources, semantic metadata descriptions and ontologies evolve over time, it remains a challenge to propagate changes, ensuring services continue to be discoverable, while at the same time keep the services operational. We propose a dashboard to detect, identify, and classify changes based on their likely functional impact on data access, and propose steps to maintain infrastructure, either rebuilding or retiring services from a registry.