The project will automatically generate new forms of metadata tags from existing metadata records and associated resources that will support discovery across multiple repositories. The project will utilize four repositories that vary in size, domain, metadata creation method and workflow, and quality. PERTAINS, a tool developed by one of the partner schools, will be used to analyze the metadata records in each repository and then to generate Dewey Decimal Classification-based tags. Clustering algorithms will be used to generate an index of similarity and match between resources in different repositories. After conducting a search, the user will retrieve a list of resources from the different collections that have been tagged in similar ways. Visualization techniques will be used to display the results in ways that enhance the research process.