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Updated: Jan 1, 2026

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
Published on: August 4, 2023
New Author Guidelines for Displaying Data and Reporting Data Analysis and Statistical Methods in Experimental Biology
Martin C Michel1, T J Murphy1, Harvey J Motulsky2
1Department of Pharmacology, Johannes Gutenberg University, Mainz, Germany (M.C.M.); Partnership for the Assessment and Accreditation of Scientific Practice, Heidelberg, Germany (M.C.M.); Department of Pharmacology and Chemical Biology, Emory University, Atlanta, Georgia (T.J.M.); and GraphPad Software, Los Angeles, California (H.J.M.).
The American Society for Pharmacology and Experimental Therapeutics updated author guidelines for three journals, emphasizing detailed data analysis and reporting. These changes aim for more transparent and less biased research findings in pharmacology and experimental therapeutics.
Area of Science:
- Pharmacology and Experimental Therapeutics
- Biomedical Research Reporting
Background:
- The American Society for Pharmacology and Experimental Therapeutics (ASPET) has revised author instructions for key journals.
- Revisions focus on enhancing the granularity and transparency of data analysis and reporting in published research.
Purpose of the Study:
- To inform researchers about significant updates to author guidelines for ASPET journals.
- To explain the rationale behind revised standards for statistical analysis and data presentation.
Main Methods:
- The revisions mandate clearer distinctions between preplanned and exploratory studies.
- Guidelines specify the reporting of sample size, statistical test selection, and outlier handling.
- Emphasis is placed on reporting effect sizes with confidence intervals over P values.
Main Results:
- New guidelines require detailed descriptions of study design elements and data analysis procedures.
- Standardized methods for reporting variability (S.D. or IQR) and precision (confidence intervals) are mandated.
- Recommendations include using scatter plots or box-and-whisker plots instead of bar graphs for better data visualization.
Conclusions:
- These revised guidelines promote more transparent and less biased reporting of scientific findings.
- Adherence to the new standards is expected to improve the reproducibility and interpretability of research in pharmacology and experimental therapeutics.
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