From interactive exploration to reproducible data science: Jupyter, Binder, Travis, and Friends
Introduction to reproducible research. The lecture provides an overview of the core skills and practical solutions required to practice reproducible research. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
Topics covered in this lesson
- Introduction to reproducible research
- Core skill required to practice reproducible research
- Overview of tools and resources that can be employed to practice reproducible research