Enhancing research visibility and impact: University of Michigan’s data-driven expertise platform
The University of Michigan launched a new searchable database of their research expertise using a Digital Science solution built on Symplectic,
Dimensions, Altmetric and Readcube technology. We interviewed Caleb Smith, the Senior Strategy Manager for Research Intelligence and Analytics
at Michigan Medicine Office for Research, on the strategic rationale and goals for the project.
Crucially, the researcher retains control over what can, and will be displayed in their public profile.”
Caleb explains how, through a data‑driven methodology, the University of Michigan can visualize and analyze the connections between researchers, disciplines, and external partners. The case study underscores how such integrated platforms help identify active and emerging areas of expertise, spotlight impactful work beyond traditional metrics, and streamline research management processes. Overall, this approach enhances institutional effectiveness by aligning collaboration strategies with demonstrated strengths, encouraging cross-disciplinary synergies, and ultimately amplifying research impact both within academia and beyond.
Connections, collaborations and impact: Data-driven approaches to
understanding institutional research expertise
