Blog
Why the future of Pharma data can only be FAIR
FAIR data is a defining component for a future-proofed pharma or life science enterprise. But what is FAIR data, and…
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BlogExploring the evolving role of publishers
Digital Science’s UK Publisher Day 2026 brought together publishers, industry and technology partners to explore the evolving role of publishers -
BlogHow we used AI to extract citation data from conference posters
Can AI extract citations from conference posters posted on social media? See the results of our study -
Blog2025 research recap: The top 10 publications of the year
Explore the Top 10 most interesting and influential research in medical affairs for 2025, as based on Altmetric data -
BlogFrom metrics to meaning: Redefining scientific impact
Is your scientific metrics dashboard driving strategy? If not, it’s time for a change. See our insights from the ISMPP… -
BlogThe data foundation for natural law models
FAIR data and knowledge graphs are critical for AI-driven scientific discovery -
BlogREF readiness: evidencing engagement & impact
We examine the key actions institutions should take to demonstrate research impact and engagement for REF2029 -
BlogFigureTwo launches with State of Open Data showcase
As part of its official launch, Catalyst Grant winner FigureTwo has reimagined figures from the State of Open Data 2025… -
BlogNo shortcuts to research information citizenship
Being open isn’t enough – true “research information citizenship” requires a robust, genuinely open research infrastructure -
BlogValue over volume: The next ten years of Open Data
Mark Hahnel shares the open data wins of the past decade, the challenges, and the future of data sharing -
BlogMachine-first FAIR: Realigning academic data for the AI research revolution
The best way for humankind to benefit from research is to prioritize machines over people when sharing data. Here’s why -
BlogAI in drug discovery: Key insights from a computational biology roundtable
Experts from across the pharmaceutical and biotechnology landscape share trends, challenges, and opportunities for using AI in drug discovery