Visualizing published metadata in large aggregations

Abstract

Large metadata aggregations provide access to documents held by multiple cultural heritage (CH) institutions. As CH institutions encode their metadata using different schemas and follow different data standards, aggregators must process the received data before making it available through a unified portal. Staff members at the contributing CH institutions don't receive feedback regarding the quality of the provided or the processed data. We are developing mechanisms that enable staff at the CH institutions to understand the effectiveness of their metadata with a goal of improving the visibility of their items in these large portals such as the Digital Public Library of America. This poster will present a classification of the DPLA metadata application profile highlighting compliance levels as well as a visualization framework for presenting the compliance of an institution's data with the DPLA data model.