Why scientific content cannot be overlooked
As AI adoption accelerates, content quality, usability, and permissions are now critical constraints, writes Adam Churchill
As AI adoption accelerates, content quality, usability, and permissions are now critical constraints, writes Adam Churchill
Platform clarifies author responsibility and consequences for failing to verify AI-generated material
Nearly 60 per cent of researchers use AI, yet trust remains a major barrier
Discussion document, published in March, sets out considerations for handling peer-reviewed scholarly content
Clarivate whitepaper highlights Vienna University Library’s approach to metadata challenges
Five universities are set to be early adopters, with a broader early access programme scheduled for July 2026
Principles include transparency, accountability, appropriate tool use, user awareness, integrity safeguards and equity
Pilot to evaluate whether structured MDAR reports can be created directly from submitted manuscripts in an automated process
Report aimed at supporting library leaders as they assess how AI advances in are reshaping the research landscape
Project will now incorporate dedicated surveys of both publishers and librarians around "zero-click search"
Tool generates concise, narrative summaries that interpret the attention and influence surrounding a piece of research
Clarivate study examines how AI is transforming key library processes while delivering operational benefits