It has been well document that there is a reproducibility crisis in science in general. Closer to home, there are areas of ambiguity within the data analysis pipeline for metabolomics. This is often not deliberate and can be, but not limited to, a lack of transparency in the reporting of the data analysis process, or the employment of push-button ‘black box’ automated approaches, compounded with a lack of user knowledge.
The Metabolomics Society has therefore started this task group to help establish best practice and recommendations for what needs to be reported in order to ensure reproducibility of metabolomics data analysis science. We believe this will have a positive impact and improve data analysis practices more broadly.