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Digital Science We’re a pioneering technology company. Our vision is of a future where a trusted and collaborative research ecosystem drives progress for all.
09/07/2026
Most AI tools in research can give you a confident answer. Very few can show you exactly how they got there.
Dimensions Research Strategy is built from the inside out: a decade of real analytical practice, encoded. Not a generic LLM pointed at research papers.
🔗 Read the launch blog: https://ow.ly/2Gnf50ZlX9A
Our new report, "Research Transformation 2026: Strategic priorities for research leaders," draws on 10 years of longitudinal data from the State of Open Data study (4,700+ responses, 151 countries) to map where research culture actually stands today — not where policy says it should be.
🔗 Download your copy of the report here: https://ow.ly/KAP450ZlsUP
Key findings include:
🔹 Awareness of FAIR has scaled, but implementation lags
🔹 The credit gap is still the biggest barrier
🔹 AI adoption jumped nearly 10 points in a year
🔹 Collaboration is expanding, but is under strain
🔹 Research security is now a strategic priority
The institutions pulling ahead aren't waiting for better policy. They're connecting the data, infrastructure, and incentives they already have into something that works together.
📥 Get the full findings, expert interviews, and actionable recommendations: https://ow.ly/KAP450ZlsUP
02/07/2026
AI infrastructure is building better aqueducts for science. But aqueducts don't make water clean – they just move it faster.
In her latest post, Dr Leslie McIntosh (VP of Research Integrity & Security, Digital Science) looks at what MCP pipelines mean for research integrity: why controlling the data source isn't the same as trusting it. And why provenance infrastructure needs to be a key part of the conversation.
"If we want AI systems that serve science, we need more than better connectors," she writes.
🔗 Read Leslie's post on the FoSci Substack: https://ow.ly/o3ka50Zjz5e
🚨 NEWS: Introducing Dimensions Citation Check - a new tool to help journal editors detect and assess potential citation manipulation in academic papers.
🔗 See our announcement: https://ow.ly/FnbQ50ZccII
Self-citation is a recognized integrity risk in academic publishing. While some self-citation is appropriate, excessive or gratuitous use inflates citation metrics, obscures a paper’s originality, and can place a journal’s indexing standing in jeopardy.
Dimensions Citation Check is an API-based editorial tool that automatically detects self-citation in manuscript submissions, evaluates each instance in context, and returns a clear risk rating to support editors’ decision-making before papers reach peer review.
"Context determines whether a citation is legitimate or problematic, and that judgment needs to be delivered quickly and consistently, at scale," says Dr Leslie McIntosh (VP of Research Integrity & Security, Digital Science).
"Citation Check draws on the depth and accuracy of the Dimensions database to resolve references and author identities reliably, and provide editors with context they can act on with confidence," says Dr Bob Schijvenaars (VP of Data Science & Infrastructure, Digital Science).
🔗 Discover more about Dimensions Citation Check: https://ow.ly/YQP350ZccIH
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