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Access to scientific resources is essential to accelerating biomedical research. Too often, however, these important resources  remain invisible to investigators not only at their own institutions, but also at institutions across the country.

eagle-i makes these invisible resources visible by allowing institutions and organizations to model biomedical resources on a linked open data platform and provide users with an interface to search and find resources in their own institution, and at participating institutions throughout the nation. By making previously undiscovered resources more visible, redundant resource creation can be reduced, collaboration can be fostered, and research can be accelerated.

The platform is powered by an expansive ontology, and utilizes an RDF database to triple store semantically robust data, adhering to linked open data principles. The eagle-i search interface leverages semantic web technologies and provides users with multiple ways to search, filter, and sort data from multiple resource collections.

The eagle-i Network was first developed in 2010 by a consortium of nine universities with a grant from the NIH and today, the research resources of over 40 academic and not-for-profit research institutions are represented in eagle-i.