How do I find data relating to research collaborations?
Answer
Why research collaboration matters
Research collaborations bring together diverse expertise, perspectives, and resources—often resulting in more innovative, interdisciplinary, and high-impact outcomes. Collaborative work can:
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Increase the visibility and reach of research
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Strengthen funding bids and citation performance
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Support strategic partnerships across institutions and sectors
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Advance institutional goals related to the UN Sustainable Development Goals and internationalisation
Accessing research collaboration data
Collaboration metrics can provide valuable insights into how individuals, groups, or institutions work together. These indicators can help you:
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Report on collaboration activity at local, national, or international levels
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Identify emerging partnerships or strategic opportunities
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Locate potential collaborators by topic, region, or institution
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Understand the role of collaboration in citation performance (with appropriate context)
 Example: A breakdown of institutional collaboration data generated using SciVal
Using SciVal for collaboration analysis
SciVal (based on Scopus data) offers comprehensive tools for exploring collaboration patterns.
You can:
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Analyse domestic and international collaboration rates
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View co-authorship networks by country, institution, or research area
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Identify potential collaborators based on research topics or themes
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Explore how collaboration links to citation performance (e.g. FWCI), supporting responsible impact analysis
In SciVal, collaboration data is accessible in both the Explore and Compare modules.
Contact us if you'd like support using SciVal for collaboration analysis or partner identification.
Using InCites for collaboration insights
InCites (based on Web of Science data) offers a complementary perspective on research collaboration.
Key features include:
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Collab-CNCI (Category Normalised Citation Impact): Compares the citation impact of collaborative research to global averages within subject areas
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Breakdown of domestic vs. international collaboration rates
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Analysis of institutional and geographic co-authorship trends
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Time-based views of collaboration patterns across disciplines
InCites is particularly useful for:
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Evaluating the impact of existing partnerships
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Supporting strategic decisions about where and how to build collaborations
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Providing evidence for research culture, REF narratives, or funding applications
To explore collaboration data in InCites or understand how to interpret Collab-CNCI, please contact the Research Indicators team.
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Responsible use of data
As with all research indicators, collaboration metrics should be interpreted in context. They offer useful insight into activity and connections, but they do not capture the full quality, equity, or purpose of collaborative work. We recommend using these indicators alongside qualitative information or narrative descriptions where possible.