Digital Science
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Overview
Digital Science is an AI-focused technology company providing innovative solutions to complex challenges faced by researchers, universities, funders, industry and publishers. We work in partnership to advance global research for the benefit of society.
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Show your sources: building verifiable, citable AI agents with MCP
Model Context Protocol (MCP) is an open standard which connects LLMs with external systems. We discuss how new Dimensions and Altmetric MCPs ground LLMs in structured data, generating verified, citable results that research teams can trust. The "Knowledge
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No Gold Standard: Measuring Success in Medical Affairs
To understand true publication impact and influence patient outcomes, Medical Affairs teams must have their own benchmarks Compass Points: The Future of Medical Affairs is a series exploring the strategic challenges facing Medical Affairs teams in today's
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From writing the rules to building the tools: Responsible research assessment in practice
What does responsible research assessment actually ask of the people who build the infrastructure, rather than those who write the policy? In this post, Steven Hill traces the arc from DORA and the Leiden Manifesto through to the Barcelona Declaration, an
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Research strategy deserves better than a chatbot: Why Dimensions Research Strategy is different from other AI tools in research
There is no shortage of AI tools promising to transform research. Barely a week goes by without another launch - another platform powered by a large language model, another interface built on public data, another chatbot that will supposedly revolutionize
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REF readiness: evidencing Strategy, People & Research Environment
In the first two posts in this series, we explored the evidence challenges around Engagement & Impact and Contribution to Knowledge & Understanding. Here, we turn to the third element of REF 2029 assessment: Strategy, People & Research Environment (SPRE)
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