Bringing data science into rehabilitation research.
Building data science capacity to improve scientific reproducibility.
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.
Our Vision
The ReproRehab program will build a sustainable national workforce of rehabilitation researchers equipped with basic data science skills through three targeted approaches:
(1) implementing an innovative, hands-on bootcamp for rehabilitation researchers to learn beginning data science skills and integrate them into their own research,
(2) employing a train-the-trainer model to rapidly increase capacity for data science and training of data science in the rehabilitation research community, and
(3) broadly disseminating data science resources curated specifically for rehabilitation researchers through a publicly accessible web portal.
We look forward to bringing ReproRehab to you!
Stay in touch
ReproRehab is a 5-year, NIH-funded R25 Research Education Program (R25HD105583, 2022-2027). Applications for our second cohort are opening soon! Sign up for our newsletter to get the latest updates, and follow us on Twitter!
