Primer on Reproducibility: Trends, Tools, and Some Tips and Tricks

The scientific process is inherently iterative; we never stop at a single observation but rather conduct our research again in the same or in a different context to see if we will obtain the same results. Failure to do so makes us doubt the validity of the findings and methods of our research and the study we aimed to repeat. While this is an oversimplification of the issue, such unsuccessful attempts at replicating prior research have led to what has been globally recognized as a "Reproducibility Crisis" in research. Its many causes are deeply intertwined, and its implications are complex; yet the research community has mobilized to fight it through both formal and informal initiatives. Here we provide some tools and tips that will help make the methods, data, and code more reproducible for researchers at any stage. We hope that the uptake of these good research practices will eventually lead to positive changes within the research community. © 2025 Wiley Periodicals LLC.