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Our modeling approach had three main drivers. The first was to represent real data collected about resources. The second was to have the ontology control the userinterface (UI) and the logic of the data collection tool and search application. The third was a commitment to build a set of ontologies that could be reusable and interoperable with other ontologies and existing efforts for representing biomedical entities. This latter requirement translated into decisions to a) follow OBO Foundry principles and best practices for biomedical ontology development and b) engage in active discussions within the bio-ontology community in order to provide context for eagle-i interoperability and align with domain-wide standards for resource representation (http://bit.ly/rrcoord)

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