Publication: Same data, different analysts

A fun but important collaboration, featuring hundreds of authors, is out now in BMC Biology. When analysing data, researchers often have to make decisions about what to do and how to execute their analysis. This project assesses the outcomes of 174 different analysis teams trying to answer the same questions from the same data. It shows that analysts’ decisions can influence the outcome, and makes recommendations for how we can make our analyses more robust. The study used ecological data (ecologists tend to be really into statistical modelling), but the findings and recommendations apply broadly across many fields, and contribute to the broader current efforts to improve scientific reproducibility.

This was a really international effort, big thanks to the leadership team at Whitman College (USA), University of Melbourne (Australia) and University of Alberta (Canada).

Here is the paper:

https://bmcbiol.biomedcentral.com/articles/10.1186/s12915-024-02101-x