- NIH Guidance: Rigor and Reproducibility in Grant Applications
- NIH website on Rigor and Reproducibility
- NIH Rigor & Reproducibility Training
- NIH Office of Extramural Research “Enhancing Reproducibility through Rigor and Transparency“
- NINDS Rigor Champions and Resources
- NIH Clearinghouse for Training Modules to Enhance Data Reproducibility
- NIH Rigor and Reproducibility Training Modules (NIH Office of the Director)
- Let’s Experiment: A Guide for Scientists Working at the Bench (iBiology)
- Improving Reproducibility in Research (Indiana University School of Medicine)
- Course on Pragmatic and Group-Randomized Trials in Public Health and Medicine (NIH Office of Disease Prevention)
- Controls in Animal Studies for Rigor and Reproducibility (American Physiological Society)
- Statistical Topics for Reproducible Animal Research (Indiana University School of Public Health and University of Alabama at Birmingham)
- Improving Reproducibility of Computational Microbiome Analyses (University of Michigan School of Medicine)
- edX Course: Principles, Statistical and Computational Tools for Reproducible Science (Harvard School of Public Health)
- The BD2K Guide to the Fundamentals of Data Science Series (Big Data to Knowledge [BD2K] Initiative)
- Society for Neuroscience Rigor and Reproducibility Training Webinars (Rutgers University and Michigan State University)
- Cell Line Authentication Training (Global Biological Standards Institute)
- Reproducible Research and Data Analysis (Open Science Training Handbook)
- Trouble at the lab; Unreliable research (The Economist, Vol. 409, Issue 8858, 2013)
- Reproducibility and reliability of biomedical research: Improving research practice (PDF download)
- Rigor & Reproducibility Case Scenario Archive