Repurposing of metadata from a spreadsheet format to individual XML files for ingestion into DSpace

Whilst, storing intellectual content digitally has become a very important every day aspect of our lives, many people wish for a more effective and efficient way to manage this process. This paper looks at an example of this at UCT, creating a tool which improves the workflow of uploading digital assets into an intellectual repository. This tool allows users to input metadata in the simplest form (a spreadsheet), and converts it to individual XML files for each record. The spreadsheet is designed to make the entering of the data easier and the converter application successfully creates metadata files that can be ingested into DSpace (an example of an intellectual repository)

Enhancing Search and Browse Using Automated Clustering of Subject Metadata

The Web puzzle of online information resources often hinders end-users from effective and efficient access to these resources. Clustering resources into appropriate subject-based groupings may help alleviate these difficulties, but will it work with heterogeneous material? The University of Michigan and the University of California Irvine joined forces to test automatically enhancing metadata records using the Topic Modeling algorithm on the varied OAIster corpus. We created labels for the resulting clusters of metadata records, matched the clusters to an in-house classification system, and developed a prototype that would showcase methods for search and retrieval using the enhanced records. Results indicated that while the algorithm was somewhat time-intensive to run and using a local classification scheme had its drawbacks, precise clustering of records was achieved and the prototype interface proved that faceted classification could be powerful in helping end-users find resources.http://deepblue.lib.umich.edu/bitstream/2027.42/58766/1/07hagedorn.pd

The CIC metadata portal: A collaborative effort in the area of digital libraries

Article copies available from The Haworth Document Delivery Service: 1-800-HAWORTH | [email protected] | http://www.HaworthPress.com/The CIC consortium includes 12 major Midwestern Universities. Their libraries have decided to share the cost of a joint project (2003-2006) aimed at better understanding the mechanisms by which emerging technologies and standards can facilitate metadata sharing and the creation of value-added services for their users. The CIC metadata portal project has performed advanced work in the area of Open Archives Initiative Protocol for Metadata Harvesting, collection level descriptions, metadata transformation and enrichment, and practices and usability of metadata standards. It has provided an opportunity for increased collaboration between CIC academic libraries and a way to highlight the wealth of digital resources held by the participating libraries. This article describes the project and enumerates project accomplishments. The project has helped to better the way in which partner institutions share information about digital content and provide access to digital resources. Four content providers of the project highlight different aspects of the project and the practical benefits they found in the collaboration.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/58774/1/STL_Foulonneau.pd