This paper reports results of the study that used an in-depth comparative content analysis to assess free-text collection-level subject metadata in three large-scale digital cultural heritage aggregations in the United States and Europe.
Paper describing an analysis of subject representation in the Digital Public Library of America (DPLA), an aggregate digital library containing more than 8 million item-level metadata records at the time of the study. The findings provide information about the minimum, maximum, and average number of subjects in records from different hubs and hub types, as well as the distribution of unique subject terms across the entire collection.
Paper describing the results of initial research to evaluate general information about how records change in a digital library, using the UNT digital collections as a sample set. The analysis looked at several key concepts including the number of records that have been edited, the number of edits per record, the number of editors per record, the amount of change in file size and in completeness (i.e., values in required fields), and changes in access to digital objects.
Creator: Tarver, Hannah; Zavalina, Oksana; Phillips, Mark Edward; Alemneh, Daniel Gelaw & Shakeri, Shadi
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