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The University of Idaho and Kansas State University will plan for a web application and service that will be designed to be modular, portable, flexible, multi-modal, and capable of providing an open source extension to improve search and discovery of agricultural and environmental information. The central question is, "How can academic institutions apply new technologies in data search, storage, retrieval, and cross-referencing to make scientific data easier to find and re-use?" The team will investigate the integration of two existing agricultural databases as a demonstration of how to broadly improve existing scholarly literature databases, in particular by piloting how metadata fields for location-based search can be applied to article databases. These results can enhance findability, article classification, geo-referencing, and further integration between systems well beyond the two case study databases.