Harness the power of internal and global research data and uncover AI solutions with the Dimensions Knowledge Graph
The newly launched Dimensions Knowledge Graph, powered by metaphactory, is set to provide unparalleled access to an array of interconnected global research data, encompassing approximately 350 million records and 50+ public datasets. Tailored specifically for companies in the pharmaceutical and life science sectors, this platform will enable access to data and knowledge extracted from patents, clinical study reports, publications, open datasets, and pharma ontologies and vocabularies. By seamlessly integrating this external wealth of knowledge with internal data repositories, ranging from proprietary research to document archives, companies can unlock insights and boost their research and development endeavors.
So what insights could an organization gain by combining both internal and external data? And what artificial intelligence (AI) solutions might such seamless integration of data help uncover?
A closer look at how Dimensions Knowledge Graph works
The Dimensions Knowledge Graph adds richness and context to the data thus simplifying and accelerating the generation of actionable insights grounded in evidence. This enables companies to make sense of their data and determine what data can be used to create a reliable roadmap for decision-making, thereby fueling intelligent applications.
metaphactory was used to build the underlying model for the Dimensions Knowledge Graph, connect the data and craft knowledge discovery interfaces on-top. Since the Dimensions Knowledge Graph is based on open standards, it supports data reusability across all use cases and domains within an organization. In addition to making global research and open data available for integration with internal data, the Dimensions Knowledge Graph can support the implementation of AI solutions in pharmaceutical companies. For AI solutions to work well, data needs to be FAIR: Findable, Accessible, Interoperable and Reusable. And because the Dimensions Knowledge Graph uses unique identifiers in data and provides a unified semantic layer, it ensures that the data is FAIR resulting in the:
- Break down of data silos within organizations
- Connection of data from diverse sources seamlessly
- Integration that adds meaning and context to the data
- Acceleration of actionable evidence-based insights
By consolidating data across teams and departments, the Dimensions Knowledge Graph ensures that organizational knowledge is readily accessible to all stakeholders. A unified, user-friendly interface means that all the stakeholders can interact with and understand the data independently. Users can access the integrated knowledge through use-case-specific views for intuitive search, exploration, and visualization. Alternatively, insights can be delivered via API and exported into already-established Business Intelligence or data visualization interfaces.
Leveraging the extensive knowledge made easily accessible by the Dimensions Knowledge Graph unlocks significant opportunities and discoveries. The ability to utilize global research and public data means users can uncover deeper insights and identify relevant connections that inform complex decisions and solve diverse challenges. Moreover, the Dimensions Knowledge Graph could drive significant time and cost-savings that could accelerate drug discovery and reduce research costs.
To know more about how Dimensions Knowledge Graph can fast-track target discovery, streamline processes, speed up drug safety review, and allow the maximum use of existing internal and external knowledge, contact the Dimensions or Metaphacts team. Or, visit metaphactory for more information.