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What is Dimensions?
Dimensions provides a comprehensive suite of research applications designed to streamline the process of finding and interpreting global research data. It hosts an extensive collection of interconnected research information, encompassing publications, patents, datasets, grants, clinical trials, policy documents, and online citations. By linking these diverse data sources, Dimensions facilitates a holistic view of the research landscape.
The platform integrates this vast dataset with user-friendly visualizations and purpose-built applications, enhanced by integrated AI technology to accelerate analysis and insight generation. Dimensions aims to connect the dots across the entire research ecosystem, enabling users from various sectors including academia, government, industry, and publishing to conduct complex analyses, identify trends, and make informed decisions efficiently, thereby saving significant research time.
Features
- Linked Research Data: Access the world's largest collection of interconnected research data including publications, patents, datasets, grants, clinical trials, policy documents, and online citations.
- Dimensions Analytics: Analyze millions of research outputs, get overviews of topics, organizations, people, or network profiles.
- Dimensions Landscape & Discovery: Conduct horizon scanning and landscape analysis with customized dashboards and visualizations.
- Expert Identifier: Identify researchers matched to specific needs with detailed analytical information.
- Reviewer Finder: Quickly pinpoint suitable reviewers for grant applications or publication manuscripts with match scores.
- Research Security: Manage compliance and identify potential research security risks by verifying disclosures and reviewing networks.
- Dimensions GBQ (Google BigQuery): Integrate Dimensions data with private and external datasets for large-scale analysis.
- AI Integration: Utilizes integrated AI technology to speed up data interpretation and insight generation.
Use Cases
- Conducting horizon scanning and complex landscape analysis.
- Identifying new technologies and research opportunities.
- Finding and vetting potential reviewers for grants and publications.
- Managing research security compliance and risk assessment.
- Supporting research strategy, impact assessment, and collaboration analysis.
- Benchmarking research performance against peers.
- Identifying subject matter experts for specific projects or needs.
- Integrating research data into internal business intelligence systems.
- Accelerating product innovation and R&D decision-making in life sciences.
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