The foundation of discovery
Connected research intelligence
At Digital Science, data has been at the heart of everything we do since our founding in 2010. We build and maintain one of the world’s broadest collections of connected research intelligence, bringing together publications, patents, clinical trials, grants, policy documents, datasets, and real-world influence signals into a single, coherent foundation.
Global partnerships for trusted source data
This foundation is only as strong as the data behind it, which is why we partner directly with over 130 publishers worldwide, building relationships that give us deeper, more reliable access to the scholarly record than aggregation alone could ever provide. These partnerships mean our data isn’t just broad, it’s trusted at the source.
Powering confident and defensible decisions
Because the quality of decisions depends on the quality, breadth, and connectedness of the data behind them, we’ve made it our mission to give researchers, institutions, enterprises, government agencies, industries, publishers, and funders the intelligence they need to make decisions that can be explained, defended, and acted on with confidence.
Built with the research community
- Our mission: Research is the single most powerful transformational force for the long-term improvement of society; the advancement of science is at the heart of what we do.
- Our solutions: Trusted, connected data is the foundation on which good research is built. For over a decade, we’ve been developing and maintaining the intelligence infrastructure that helps the research community discover, evaluate, and act on evidence with confidence.
Our commitment to trusted data
- Quality and provenance: Digital Science prioritizes the accuracy, traceability, and transparency of our data, so organizations can understand where information originates and trust the intelligence behind their decisions.
- Connected intelligence: We design our data products to reflect how research actually works — linking publications, patents, grants, clinical trials, policy documents, and real-world influence signals into a coherent view of the research lifecycle.
- Continuous development: Our ongoing relationships across the global research community, including publishers, funders, and institutions, ensure our data remains comprehensive, current, and responsive to how research is evolving.
165M+
publications
8.2M+
grants
184M
patents
74.8M
datasets
1.2M
clinical trials
2.6M+
policy docs
41M+
researcher profiles
$2.7T+
in research funding data
What trusted data makes possible
- Trustworthy AI outputs: AI agents are only as reliable as the data they have access to. When those agents draw on connected, trusted data, they produce answers that are relevant and explainable.
- Earlier discovery: Comprehensive data across the full research lifecycle means organizations can identify emerging trends, spot innovation signals, and surface relevant evidence before it becomes widely visible through traditional channels.
- Deeper context: Linking publications, patents, grants, clinical trials, and influence signals helps teams move beyond isolated data points and understand how evidence connects, reducing the time spent gathering and reconciling information from multiple sources.
- Decisions made with confidence: When insights trace back to authoritative, linked sources, teams can act with clarity – understanding not just what the data says, but why it can be trusted, which is critical in regulated industries and AI workflows.
They operate at a level of completeness and reliability that allows us to focus on intelligence, synthesis, and application rather than rebuilding foundational infrastructure.”
Steve Hafif
CEO of Cypris
Putting data to work
- Integration: Our data connects to the tools your team already uses, through APIs, MCPs, and direct platform integrations, allowing organizations to incorporate research intelligence into internal analytics environments, AI workflows, and decision-making systems without disrupting existing infrastructure.
- Scalability: Whether supporting a single research team or an enterprise-wide analytics initiative, our data products are built to meet organizations where they are and grow with their needs.
- Efficiency: By bringing disparate data sources together in one connected foundation, we reduce the time and the burden of gathering, validating, and reconciling information, freeing teams to focus on analysis and decisions rather than data management.
Our data journey
- Built from the start: When Digital Science was founded in 2010, we recognized that fragmented, incomplete data was one of the biggest obstacles to good research. Building robust, connected data infrastructure wasn’t an afterthought, it was the founding purpose.
- Growing with research: Over the years we have continuously expanded our coverage and deepened our connections across the research lifecycle, from publications and grants to patents, clinical trials, policy documents, and real-world influence signals, reflecting how research itself has grown in complexity and scope.
- Shaped by the community: Our data products have been developed in close collaboration with researchers, institutions, publishers, and funders, ensuring that what we build reflects the real-world needs of the people and organizations who depend on it most.
Data-driven products
Dimensions
The world’s largest connected research database, covering publications, conference abstracts, grants, patents, clinical trials, and more
Altmetric
Track and analyze engagement with research as it is shared, mentioned, reviewed, and read online
IFI CLAIMS Patent Services
A global patent database for developers, data scientists, and product managers
Metaphacts
The leading knowledge graph & AI platform, empowering global enterprises to transform data into consumable, contextual and actionable knowledge that…
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