Rooting out mistakes and manipulation should not have to depend on whistleblowers or dedicated amateurs who take personal legal risks for the greater good. Instead, science should apply some of its famed rigour to professionalising the business of fraud detection.
In June, Francesca Gino, a behavioural scientist at Harvard University, was accused of data irregularities by three US academics who run the Data Colada blog. Gino, on administrative leave, is now suing both Harvard and her accusers for defamation. The Data Colada trio have so far crowdsourced more than $376,000 for a legal defence fund.
As the Oxford university psychologist Dorothy Bishop
has written, we only know about the ones who get caught. In her view, our “relaxed attitude” to the scientific fraud epidemic is a “disaster-in-waiting”. The microbiologist Elisabeth Bik, a
data sleuth who specialises in spotting suspect images, might argue the disaster is already here: her Patreon-funded work has resulted in over a thousand retractions and almost as many corrections.
That work has been mostly done in Bik’s spare time, amid hostility and threats of lawsuits. Instead of this ad hoc vigilantism, Bishop argues, there should be a proper police force, with an army of scientists specifically trained, perhaps through a masters degree, to protect research integrity.