Example Database Content
Full database content forthcoming
| SELF-GUIDED COURSE OPTIONS | SKILLS TAUGHT | REHAB AUDIENCE | TOTAL TIME |
|---|---|---|---|
| ReproNim: Reproducible Basics Module | Core tools, including shell version control, package managers, reproducible practices | General rehabilitation researchers, neuroimaging researchers | ~25 hours |
| ReproNim: FAIR Data | FAIR (Findable, Accessible, Interoperable, Re-useable) principles guiding data managementGeneral rehabilitation researchers who wish to access data archives or create their own data archive | General rehabilitation researchers who wish to access data archives or create their own data archive | ~10 hours |
| ReproNim: Module on Reproducible Data Processing | Reproducible workflows, virtual machines, containers, dataflow tools | Neuroimaging researchers, general rehabilitation researchers | ~17 hours |
| ReproNim: Module on Reproducible Statistics | Statistical basis for neuroimaging analyses, including hypothesis testing and power | Neuroimaging researchers | ~20 hours |
| Neurohackademy: Lectures on Python | Introduction, high-performance python, data manipulation and visualization in python | General rehabilitation researchers, neuroimaging researchers, large datasets/archives | ~10 hours |
| Neurohackademy: Lectures on reproducible data science tools (Jupyter, version control and containers) | Jupyter, Binder, Travis, Github, Docker | General rehabilitation researchers, neuroimaging researchers, large datasets/archives | ~10 hours |
| Matlab: Introduction to Programming in Matlab from Coursera | Matrices and Operators, Functions, Loops, Import/Export | General scientists, biomechanical analyses | ~36 hours |
| Using Matlab in the Study of Human Movement (Lectures adapted from Dr. Finley’s course) | Matlab Environment, Calculations, Loops, Data Visualization, Import/Export | Movement scientists, biomechanical analyses | ~10 hours |
| R for Statistics (Lectures adapted from Dr. Lohse’s Course) | General linear models, expanding to mixed effect models for crossed/nested data | General rehabilitation researchers, clinical trialists with longitudinal data | ~15 hours |
