Research Practices for Scientific Rigor: A Resource for Discussion, Training, and Practice
The SfN Scientific Rigor Working Group's set of research practices for scientific rigor can serve as a foundation for ongoing discussion within the neuroscience field.
Record Keeping and Data Management for High Quality Science
Watch this Neuroscience 2016 Short Course to learn about different aspects of and best practices for record keeping and data management.
Scientific Rigor or Rigor Mortis by Christophe Bernard
eNeuro's editor-in-chief introduces a new commentary series.
A Rhumba of “R’s”: Replication, Reproducibility, Rigor, Robustness: What Does a Failure to Replicate Mean? by Oswald Steward
This eNeuro commentary considers how failures to replicate previous findings should be interpreted and suggests possible new journal practices that facilitate publishing replication studies and reporting negative findings.
Statistical Rigor and the Perils of Chance by Katherine Button
This eNeuro commentary, discusses concerns about the reliability and reproducibility of biomedical research and highlights methodological best practices to prevent being fooled by chance findings.
NIH Efforts on Rigor and Reproducibility
A hub for information about NIH's efforts.
New NIH Funding Guidelines Concerning Rigor and Transparency
Information to assist the extramural research community in addressing rigor and transparency in NIH grant applications and progress reports.
NIGMS Clearinghouse for Training Modules to Enhance Data Reproducibility
Hosts four NIH training modules focusing on rigor and reproducibility in the research endeavor, as well as training modules to enhance data reproducibility that are produced from NIH grants.
Optimizing Experimental Design for High-Quality Science
This Neuroscience 2015 Short Course III explains scientific rigor terminology and shares case studies and best practices.
Coursebook: Optimizing Experimental Design for High-Quality Science
These materials, including case studies, from Neuroscience 2015 Short Course III, explore different facets of this topic.
Coursebook: Record Keeping and Data Management for High-Quality Science
These materials, including case studies, from Neuroscience 2016 Short Course III, explore different facets of this topic.