Metadata Quality Benchmarks of ETDs in International Institutional Repositories: An Automated Appraisal
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Date
2023-11-17
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Publisher
INFLIBNET Centre, Gandhinagar
Abstract
Good metadata quality makes a record more discoverable, facilitating search and retrieval.
In this study, three methods are used to determine the quality of metadata of Electronic
Theses and Dissertations; these are - Marc Report Analysis of Metadata, Metadata Quality
parameters suggested by data.europa.eu, and lastly, a java based pre-compiled program by
Peter Király has been used in this study. This study provides a brief comparative account of
Electronic Theses and Dissertation Metadata structure of Institutional Repositories and
Libraries. The comparative analysis of each repository shows that the total number of the
record count is much higher in the case of the libraries as it was downloaded using z39.50/
SRU client. In contrast, in the case of repositories, only four sets of data are harvested using
OAI-PMH. The field 040$e=rda is absent throughout the records of the institutional
repositories. However, the field is present in a few records of the library, i.e., the University of
Colorado shows 930 occurrences out of 1000 records. The process of metadata quality
analysis involves a combination of automated tools and human expertise, ensuring a
comprehensive evaluation of metadata attributes and relationships.
Description
26th International Symposium, ETD 2023, Gandhinagar, Gujarat, 26-28 October, 2023
Keywords
Institutional Repositories, Libraries, Marc Report, MarcEdit, Metadata Quality, OAI-PMH, z39.50