Preprints, Journals and Openness: Disentangling Goals and Incentives
Robert Harington discusses the value of preprints, the importance of peer review, research integrity and openness.
Robert Harington discusses the value of preprints, the importance of peer review, research integrity and openness.
Promoting research integrity is not just identifying bad behavior: problem articles can also be detected by the absence of ‘honest’ signals of integrity.
Robert Harington talks to Dr. Susan King of Rockefeller University Press (RUP), in this series of perspectives from some of Publishing’s leaders across the non-profit and for-profit sectors of our industry.
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.
Robert Harington talks to Dr. Amy Brand of MIT Press, in this series of perspectives from some of Publishing’s leaders across the non-profit and for-profit sectors of our industry.
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.
Research integrity extends beyond the trustworthiness of basic research results and outputs. How can we ensure that the translation and transformation of those research results into societal outputs and governance policies are equally trustworthy?
As scholarly journal editorial practices are the subject of growing scrutiny, publishers should explore “quality signals” systemically derived from researcher identity and metadata associated with identity.
Attribution has many virtues, but among them it can make visible the vast infrastructure of research for a public largely unaware or unconcerned with how much hard-won knowledge, including creative endeavor, that research has facilitated.
Should the authors’ institution make decisions regarding authorship disputes on a paper?
How do we define, track, and measure trust in scholarly publishing?
Sure to come in handy this year, a primer on logical fallacies.
The short story “The Library of Babel” by Jorge Luis Borges provides an opportunity to consider the veracity of AI-generated information.
Academia has developed an amazing tree of knowledge which is arguably the most important data for Large Language Models to be trained on. Where does the scholarly communication community fit in?
A mixed bag post from us — can you separate out the significance of research results from their validity? What will the collapse of the Humanities mean for scholarly publishing writ large? And a new draft set of recommended practices for communicating retractions, removals, and expressions of concern.