New tool looks for signs of image doctoring

Mary Walsh

One of the most common reasons for retractions is image manipulation. When searching for evidence of it, researchers often rely on what their eyes tell them. But what if screening tools could help? Last week, researchers described a new automated tool to screen images for duplication (reported by Nature News); with help from publishing giant Elsevier, another group at Harvard Medical School is developing a different approach. We spoke with creators Mary Walsh, Chief Scientific Investigator in the Office for Professional Standards and Integrity, and Daniel Wainstock, Associate Director of Research Integrity, about how the tool works, and why — unlike the other recently described automated tool — they want to make theirs freely available.

Retraction Watch: What prompted you to develop this tool?

Continue reading New tool looks for signs of image doctoring

Overlooked virus “generated a mess,” infected highly cited Cell, PNAS papers

When Alexander Harms arrived at the University of Copenhagen in August 2016, as a postdoc planning to study a type of antibiotic resistance in bacteria, he carried with him a warning from another lab who had recruited him:

People said, “If you go there, you have to deal with these weird articles that nobody believes.”

The papers in question had been published in the Proceedings of the National Academy of Sciences in 2011 and Cell in 2013. Led by Kenn Gerdes, Harms’s new lab director, the work laid out a complex chain of events that mapped out how an E. coli bacterium can go into a dormant state, called persistence, that allows it to survive while the rest of its colony is wiped out.

Despite some experts’ skepticism, each paper had been cited hundreds of times. And Harms told us:

I personally did believe in the published work. There had been papers from others that kind of attacked [the Gerdes lab’s theory], but that was not high-quality work.

But by November 2016, Harms figured out that the skeptics had been right.  Continue reading Overlooked virus “generated a mess,” infected highly cited Cell, PNAS papers