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There is a continuing need for the sorts of insights and judgements that only a person can bring, writes David Stuart
A talent pipeline needs to be developed and maintained to provide a diverse and inclusive workforce, writes Anca Ciobanu
Why open or FAIR data is crucial to support scientific research in academia and industry
Artificial intelligence in life sciences is being held back by data issues and skills shortage, according to research
Senior members of the Pistoia Alliance have warned that a hard Brexit could be near-fatal for scientific endeavour in Europe
Some 44 per cent of life science professionals are using or experimenting with AI and deep learning, while 94 per cent expect an increase in use of machine learning within two years.
Elsevier has announced it is donating its Unified Data Model (UDM) to The Pistoia Alliance
Interviews for this article have been adapted from recent PhaidraCon roundtable events and from upcoming 2023 editions of EpistemiCast
Patrick Hargitt explains why 2022 became the year that accessibility got serious
Joseph Koivisto and Jordan Sly from the University of Maryland discuss the implications of the publications-as-data model
Despite the collective and decisive step changes in enabling the transition to open access this year, we should not be complacent, writes Susie Winter
Thomas Shaw and Andrew Barker from Lancaster University Library discuss the realities, challenges and future impact of open access in the research community
It’s not a question of if, but how. The future of scholarly publishing is open, yet the debate on how to accelerate the growth of open access continues
