For the benefit of the scientific community, and in response to the NIH’s series of initiatives to enhance rigor and reproducibility in research, the National Institute of General Medical Sciences has created a clearinghouse website for training modules to enhance data reproducibility.
Recently included in these training modules is the HarvardX course, “Principles, Statistical and Computational Tools for Reproducible Science” taught by Curtis Huttenhower, John Quackenbush, Lorenzo Trippa, and Christine Choirat. The online course covers the fundamentals of reproducible science, case studies, data provenance, statistical methods for reproducible science, computational tools for reproducible science, and reproducible reporting science.
