Related Experiment Video
Updated: Jul 5, 2026

Reproducibility and Harmonization in Research Using Biological Standards: The Example of Platelet Agonist Collagen-Related Peptide
Published on: August 4, 2023
Using an open science checklist in grant proposal reviews to predict reproducibility of funded publications
Ayu Putu Madri Dewi1, Anne Floor Holtrop2, Nicholas J DeVito3
1Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.
Objectives:
To determine whether an open science checklist can be useful for predicting the reproducibility of publications resulting from these grant proposals when used by grant referees assessing them.
Study Design And Setting:
This is a comparative accuracy study design using funded grant proposals obtained from online sources (i.e., Open Grants, RIO Journal, NIH, and Grantome). Two independent groups of mock referees assessed open science practices in the proposals and predicted whether the resulting publications would be reproducible, with one group using an open science checklist as an intervention, and the other without. Then we attempted to reproduce the primary findings of a resulting publication from the grant proposal. Sensitivity, specificity, predictive values, and overall accuracy were calculated from 2 × 2 tables, comparing predicted vs. actual reproducibility. The primary outcome is the level of reproducibility, measured by the predictive value, the proportion of (non)reproducible study findings that are accurately predicted. This study was conducted between April and September 2025.
Results:
Of seven out of 101 publications (6.9%, 95% CI: 2.8%-13.8%), the primary results could be reproduced. When using the checklist, only 16.8% of the proposals were expected to be reproducible, whereas without the checklist 75.2% were expected to be reproducible. When using the checklist, 17 proposals were expected to be reproducible, whereas only 2 out of these 17 could actually be reproduced (positive predictive value (PPV) 11.8% (95% CI: 3.3%-34.3%). Without using the checklist, 76 proposals were thought to be reproducible, whereas only six out of 76 could actually be reproduced (PPV 7.9% [95% CI: 3.7-16.2%]). Sensitivity analysis by research field was not conducted because of small sample sizes in most categories.
Conclusion:
The open science checklist has a low positive predictive value, as expected given the low reproducibility prevalence in our sample. Although the differences between the group using the checklist and the group that did not use the checklist may also have been caused by their level of knowledge of reproducibility and open science, neither group could predict which proposals would or would not be reproducible.
More Related Videos
07:38Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
Published on: April 11, 2019
08:29An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
Published on: March 31, 2022
Related Concept Videos
The Scientific Method
Quantifying and Rejecting Outliers: The Grubbs Test
Protein Folding Quality Check in the RER
Proofreading
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...