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You may have heard terms such reproducibility, rigor, reliability, and robustness being increasingly used by SfN, the scientific community at large, journalists, and policymakers.
These Short Course lectures explain this scientific rigor terminology to help you understand the meaning, context, and causes, and importantly, how these practices directly relate to your research in the lab. You will also learn experimental and analytical design elements to interpret research results, and existing policies on data deposition and presentation.
Watch now to unpack the issues, learn from case studies, and get answers to commonly asked questions.
Visit the Promoting Awareness and Knowledge to Enhance Scientific Rigor in Neuroscience Featured Collection for webinars and articles to learn more.
What else would you like to know about scientific rigor? Share in the comments.