A growing number of data detectives are on the hunt for sloppy science and dodgy statistics. Jack Grove examines the methods they use
These days it is not just co-authors or peer reviewers who are checking journal papers for errors: a growing number of self-appointed fraud busters are scanning scientific literature for flaws.
This unpaid and mostly anonymous endeavour has led to the retractions of hundreds of papers and even disciplinary action where wrongdoing is exposed.
So how can scholars catch errors when reviewing others’ papers, or when double-checking their own work or that of collaborators?