In 2016, Dr. Joel Pitt and Prof. Helene Hill published an important paper in ScienceOpen Research. In their paper, they propose new statistical methods to detect scientific fraudulent data. Pitt and Hill demonstrate the use of their method on a single case of suspected fraud. Crucially, in their excellent effort to combat fraud, Pitt and Hill make the raw data on which they tested their method publicly available on the Open Science Framework (OSF). Considering that a single case of scientific fraud can cost institutions and private citizens a huge amount of money, their result is provocative, and it emphasizes how important it is to make the raw data of research papers publicly available.
The Pitt and Hill (2016) article was read and downloaded almost 100 times a day since its publication on ScienceOpen. More importantly, it now has 7 independent post-publication peer reviews and 5 comments. Although this is a single paper in ScienceOpen’s vast index of 28 million research articles (all open to post-publication peer review!), the story of how this article got so much attention is worth re-telling.
Peer review history
The manuscript was submitted and published in January 2016, and the final typeset version of the article was available for download on March 1st. Shortly after this in May 2016, PhD student Chris Hartgerink publicly peer reviewed the article, summarising it as “Interesting research, but in need of substantial rewriting.”
It was after this that the article came to the attention of Prof. Philip B. Stark, an Associate Dean at the University of California, Berkeley, and author of the most highly read article on our platform with over 39,000 views to date!