Research Collaboration Graph
A research collaboration graph places the people, labs, organizations and shared services in a program on one relationship map. Connections reveal which teams share a platform, who funds the work, and where an external partner contributes. This kind of drawing is useful for program planning, grant discussions and onboarding because it gives a reader a compact view of the collaboration rather than a list of names. Begin with the investigators and labs, then add shared data systems, funders and partner organizations. Keep the link labels specific enough to explain the relationship, such as funds, recruits, provides facilities or contributes data. The resulting graph helps identify central services and collaborations that need coordination.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
Explore the organizations, labs and shared infrastructure involved in a research program.
Key decisions
- Shared data platform: A central node exposes a major collaboration dependency.
- Separate labs: Distinct disciplines remain visible while their common connections form clusters.
- External partners: Funding, recruitment and facilities ties show work beyond the core team.
When to reuse this
Use this graph when collaboration patterns and central dependencies matter more than a reporting hierarchy.
Frequently asked questions
What can a collaboration graph show?
Why use a force-directed layout?
What should link labels say?
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