Bibliometric databases are essential tools for research and publishing strategy. But the variability in how they parse publisher metadata and their constant evolution makes it difficult, if not impossible, to exactly reproduce any given piece of research.
Jon Repetti reflects on the lessons being learned from the American Philosophical Society’s re-entrance into the fray of the scholarly publishing marketplace.
An interview with Klaas Sijtsma discussing the importance of statistical analysis in research integrity.
A look at how AI tools support transforming information access into information comprehension.
To learn about how Scopus AI works under the hood, we interview Elsevier Sr. VP of Analytics Products and Data Platform, Maxim Khan.
What can we do to encourage and improve methods reporting in scientific articles? A new report summarizes recommendations for editors and publishers alike.
Do publishers really understand what tools researchers are using and how they are using them? Can we do more to create better policies based on real use cases and not hypothetical conjecture about what AI might do in the future?
New NISO guidance on clear consistent display of retraction information will reduce inadvertent reuse of erroneous research.
In today’s Kitchen Essentials, Roger Schonfeld speaks with Richard Jefferson, founder of The Lens, which enables discovery and analysis for scholarly works, patents, and patent sequences.
Providers of library discovery services reflect on the impact and value of NISO’s Open Discovery Initiative.
Citing chatbots as information sources offer little in terms of promoting smart use of generative AI and could also be damaging.
If you use a chatbot in writing a text, and are discouraged from listing it as a coauthor, should you attribute the relevant passages to the tool via citation instead? Is it appropriate to cite chatbots as information sources?
Today’s Kitchen Essentials interview is with Nici Pfeiffer, Chief Product Officer for the Center for Open Science (COS), including the popular and highly-used Open Science Framework (OSF).
How is generative AI moving us towards conversational discovery and what does this mean for publishing and future trends in information discovery?
How will the American Sunlight Project make it more costly for bad actors to spread disinformation — and what does this mean for scholarly publishing?