AI for Science Datasets: Results
"Our goal was to identify high-value, strategically important dataset concepts that could underpin the next generation of AI-enabled scientific discovery."
www.renaissancephilanthropy.org/ai-for-scien...
The academia preprints "problem" continues to accelerate
www.openresearch.wtf/academia-has...
From 52 files total in March '12 to 8000/month in March '26
It's really nice to see that academics continue to share more and more data at a time when we can really re-use it
*This is just the subset of free users (not institutional, governmental, publisher or pharma clients that use Figshare infrastructure)
Webinar - The Foundation for Trustworthy AI: The FAIR Data Playbook for Pharma
May 6th
www.fiercepharma.com/premium/webi...
Anthropic tests Claude Operon for scientific research in biology
Operon is a new Claude desktop app mode designed for biology and health research, featuring dedicated project tools and session management.
www.testingcatalog.com/anthropic-te...
As AI adoption grows, how should research record it?
www.researchinformation.info/analysis-opi...
The new Altmetric Attention Digest automatically generates concise, narrative summaries that interpret the attention and influence surrounding a piece of research. The aim is to move beyond raw metrics
www.altmetric.com/solutions/al...
Research attention data is powerful. It can also feel dauntingly complex.
The Altmetric Attention Digest uses AI to turn all those signals into one clear, human-readable summary you can actually make sense of.
Find out more today 👉 www.altmetric.com/so...
What parts of the academic knowledge creation & dissemination pipeline can we automate with AI?
www.openresearch.wtf/what-parts-o...
"We will help partners create and expand open, high-quality datasets – and, where appropriate, help responsibly open previously closed ones – so researchers everywhere can leverage AI and use data to drive progress across diseases"
openaifoundation.org/news/update-...
📣 We are at #MAPSDenver2026 and we're exhibiting say hi to us at Booth 123!
Join @hahnel.org, Founder of @figshare.com and VP, Open Research in a panel titled:
👉 “Faster, Smarter, Riskier? Rethinking Literature Workflows in the Age of AI”.
🗓️ Tues, 24 March 🕜 1:30pm MDT
🔗 ow.ly/JWZW50YuJyB
What parts of the academic knowledge creation & dissemination pipeline can we automate with AI?
www.openresearch.wtf/what-parts-o...
PLOS open science monitoring framework shows circa 30% of papers have data in a repository and >20% have a preprint
Think this will be circa 100% for both in less than a decade
explore.plos.org/open-science...
Who Defends Science at Scale? And How?
Scientific Intelligence Needs Infrastructure
fosci.substack.com/p/who-defend...
What does responsible use of research content in #AI look like to you? Your voice is needed!
STM has published a new discussion document: "Toward Responsible Use of Research Content in Generative AI." Our own Mark Hahnel is among the authors.
🔗 Read & respond here: https://ow.ly/1Is450YvLbE
Illustrated comic-style poster titled “Become a Data Champion!”. In the first panel, a person points at the viewer with the words “Data Champion Wanted!” and asks if they are interested in looking after and sharing data properly. In the second panel, two people discuss becoming the local expert in research data management in their department. In the final panel, two smiling Data Champions stand in front of a large crowd under the text “Become a Data Champion”. Logos for the Office of Scholarly Communication and Research Data appear at the bottom, with credit to Clare Trowell.
🏆 Become a Data Champion at the University of Cambridge!
Passionate about good research data practices? Learn more and share knowledge to help support researchers with research data management and publishing research outputs.
⏰Apply by 31 March 2026.
🔗 https://loom.ly/JyoKs8Q
🌟 NEW blog post: How can #AI help uncover citation data that might otherwise be missed?
Our team has used AI to extract citation data from images of conference posters shared on social media. Their work is now published in JMIR AI. JMIR Publications
🔗 Read more: https://ow.ly/JURi50YpCVc
I remember we tried to do this at Digital Science using google glass
"A new wearable AI system watches your hands through smart glasses, guiding experiments and stopping mistakes before they happen"
www.scientificamerican.com/article/how-...
AlphaFast: Rapid AlphaFold 3 Inference with GPU-Accelerated Homology Search
doi.org/10.6084/m9.f...
🧬 NEW blog post: #FAIRdata & #KnowledgeGraphs are critical for AI-driven scientific discovery, writes our VP of Open Research, Mark Hahnel.
Mark explores the emergence of Natural Law Models (NLMs) for artificial intelligence, and the benefits for #pharma.
🔗 Read his post: https://ow.ly/mnIe50YhB3P
Access Isn’t Trust
AI aggregation without accountability corrupts knowledge
fosci.substack.com/p/access-isn...
📣 Part 1 of our new blog series about #REF2029 is here! We examine key actions institutions should take to demonstrate #ResearchImpact & engagement. @ref2029.bsky.social
👉 Insights from our Director of Research Impact & Comparative Analytics, Ann Campbell.
🔗 Read now: https://ow.ly/rrUT50Yh32C
Moving from "share data because you should" to "share data because you'll get something back."
Looking for Suprisals in your data using AstaLabs Autodiscovery from Allen AI
www.openresearch.wtf/moving-from-...
📊 #CatalystGrant winner FigureTwo has launched! To help celebrate, Founder & CEO Jeff Lang shares some reimagined key figures from the new #StateOfOpenData 2025 report, published by Digital Science, Springer Nature & Figshare.
🔗 See more here: https://ow.ly/KjpU50Yej3S
#LoveDataWeek #LoveData26
