Data science provides an exciting opportunity to significantly improve the rigor of rehabilitation research by increasing the reproducibility and replicability of research. Data science methods, which rely on computer programming skills for data intake, management, storage, and analysis, can increase reproducibility, but clinical and basic rehabilitation researchers may have challenges adopting these practices due to a lack of fundamental training in computer programming.

Our new Reproducible Rehabilitation (ReproRehab) research education program aims to build a sustainable national workforce of rehabilitation researchers equipped with basic data science skills in five years.


Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
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EHR, Machine Learning, Medical Records