Research journals and the peer review process should not be the first line of defense in identifying research integrity issues. In today’s post, Angela Cochran calls for research institutions to take a larger role in validation and integrity checks.
Journal articles with ChatGPT authored text are being found. How common is this in the literature? And how, or better yet, when, is this problematic text slipping through to publication?
Christos Petrou looks at the factors that go into determining a journal’s turnaround times, and how we can help authors make better-informed choices.
In today’s Kitchen Essentials, Roger Schonfeld speaks with Lauren Kane of BioOne, a community-based platform that provides global distribution for more than 350 journals and eBooks in the biological, ecological, and environmental sciences.
Robert Harington talks to Niko Pfund of Oxford University Press, in this series of perspectives from some of Publishing’s leaders across the non-profit and for- profit sectors of our industry.
Hélène Draux presents the first of a two-part effort to chart the topography of mental health scholarship. Here, established methods, including pre-existing classifications are employed.
How can we optimize the peer review process, and what role should AI play?
In today’s Kitchen Essentials interview, Roger Schonfeld speaks with Sami Benchekroun, CEO of Morressier, which provides publishers with workflows that ensure research integrity.
Three global society publishers respond to cOAlition S’s recent “Towards responsible publishing, a proposal from cOAlition S”.
How do we define, track, and measure trust in scholarly publishing?
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.
It’s been “the year of generative AI”, so Charlie Rapple asked ChatGPT to write some cracker-standard Christmas jokes with a scholarly communications theme.
As we contemplate a pause during the holiday season, we must ask ourselves: Isn’t the researcher’s overall well-being as crucial as the research itself?
With all the intricacies of intersectionality – gender, ethnicity, disability, neurodivergency, mental health, and other identifiers – how can we be true to our whole self while also being authentic as our work-selves in our day-to-day roles?
Generative AI wants to make information cheap, but will people want to read it? Are we ready for more productive writers?