The SciDash non-profit project is of practical use for university professors who work on reproducible execution and visualization of data-driven unit tests for assessing model quality. It is a 21st-century vision of the scientific method.
The part we were responsible for is actually an output table that has been created with a possibility to test different scientific models oneself and visualize the results. We built the following functional parts:
- Test Scores table for the validation of scientific models against experimental data.
- Models dashboard.
- Tests dashboard.
- Suite Scores to incorporate and visualize the set of tests for each model.
- Scheduling.
“SciDash aims to make validation of computational scientific models against experimental data easy, transparent, and continuously integrated into the model development process.”