Category: peer review

Double-anonymous review is an effective way of combating status bias in scholarly publishing 

Discussions around improving peer review often focus on openness as a mechanism to reduce bias. Drawing on a recent study of double and single anonymisation at the British Ecological Society, Charles Fox argues for the benefits of double anonymisation …

Can generative AI add anything to academic peer review?

Although generative AI applications promise efficiency and can benefit the peer review process, given their shortcomings and our limited knowledge of their innerworkings, Mohammad Hosseini and Serge P.J.M. Horbach argue they should not be used independ…

AI can crack double blind peer review – should we still use it?

Artificial intelligence models are particularly good at pattern matching, one potential application of this is the development of tools that detect and identify author styles, a situation that has implications for nominally blind peer review processes….

Quarterly roundup: Your June 2023 news from Dryad 

Welcome to the Dryad newsletter, keeping you up to date with data policies and compliance, Dryad product developments and events, and more. To get the latest news and developments from Dryad delivered straight to your inbox, please sign up to … C…

For journals: Benefits of our Private for Peer Review mode

Many journals rely on Dryad to publish data connected to research articles. We make it simple for editors to ensure underlying data is accessible through submission and peer review with Private for Peer Review.  With this functionality, at the poi…

For Epistemic Respect – Against Reviewer 2

Despite the efforts of journals and editors to the contrary, the well-known academic folk-devil, Reviewer 2 continues to make the lives of researchers miserable. Gorgi Krlev and Andre Spicer draw on a recent encounter with reviewer 2 and the subsequent…

Can artificial intelligence assess the quality of academic journal articles in the next REF?

In this blog post Mike Thelwall, Kayvan Kousha, Paul Wilson, Mahshid Abdoli, Meiko Makita, Emma Stuart and Jonathan Levitt discuss the results of a recent project for UKRI that made recommendations about whether artificial intelligence (AI) could be us…