Experimental Design

A well-designed experiment should provide robust and unbiased results. Scientific rigor, as defined by the NIH, is the strict application of the scientific method to ensure robust and unbiased experimental design, methodology, analysis, interpretation and reporting of results.

These resources are to aid in the planning of a rigorous experimental design and are not meant to replace or provide rules as to how experiments should be conducted. They are merely guidance to aid in the experimental planning process. More resources on reproducibility are available on the reproducibility by topic webpage.

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NIH's Clearing House for Training Modules to Enhance Data Reproducibility

In January 2014, NIH launched a series of initiatives to enhance rigor and reproducibility in research. As a part of this initiative, NIGMS, along with nine other NIH institutes and centers, issued the funding opportunity announcement RFA-GM-15-006 to develop, pilot and disseminate training modules to enhance data reproducibility. Graduate students, postdoctoral fellows and early stage investigators are the primary audiences for these training modules. [Text taken from NIH website] 

Click here to view all available training modules

Rigorous Experimental Design

Statistical Analysis

Avoiding Scientific and Unconscious Bias

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