The Mosqlimate data Platform, encompasses a data acess API as well as a deployment of MLflow framework for model versioning (not code versioning, but experiment versioning). The platfor will provide both an API to input data (data going into the models to feed predictions) and another for model predictions data which will be stored for visualization purposes.
We are still under construction so check back frequently to follow our development.
Our platform will provide geo-referenced epidemiological, entomological and climate data for the all of Brazil. Additional datasets mey be incorporated in the future, as they become available and are considered useful to modellers.
The output data will be categorized by model predictive scope. Certain models with predict weekly incidences (time series), other will predict Season wide indicators, others yet will provide spatio temporal (maps) predictions.
The design of the output data store will be defined based on Modellers provided information, Mosqlimate coordinators will try to fit models withing pre-determined categories so that model comparisons are possible.
A model registry will be maintained with metadata about models, their data requirements (for input and output), their authors, implementation language, and code repository.
The registry will remain open, but some acceptance criteria must be met for inclusion in the registry and join the platform's model comparison workflow.