Date: May 24, 2012
Creator: Weidner, Andrew & Alemneh, Daniel Gelaw
Description: This poster discusses metadata quality enhancement for large digital collections. Creating and maintaining accurate descriptive metadata for digital objects is one of the best ways to connect with digital library users and maintain those connections over the long term. Good metadata empowers users to not only discover exactly what they searched for, but also to locate relevant resources that they did not expect to find. Metadata quality characteristics for digital libraries depend on many factors, including: the types of resources the repository offers and the users' needs, which vary across the spectrum of user communities. The metadata quality issue is particularly acute if there are multiple institutions participating in collaborative digital projects that employ diverse naming schemes for their documents and files. Furthermore, harvesting large sets of documents from open repositories presents a number of challenges for creating accurate descriptive metadata. For example, metadata schema do not always map well, creating disconnects when published in the local repository. In the aforementioned cases, substantial rework is usually required to create descriptive data that meets local repository standards. The University of North Texas (UNT) digital libraries group utilizes various tools and mechanisms to ensure metadata consistency and precision across all digital resources. ...
Contributing Partner: UNT Libraries