Semantic Interoperability of Moving Image Records in Aggregating Digital Repositories: A Comparative Study of Dublin Core and PBCore Descriptive Metadata Schemas
Emma Evans · Carolina Digital Repository (University of North Carolina at Chapel Hill) · 2019
This study examines the Dublin Core and PBCore metadata schemas as they are applied to publicly-accessible moving image records in four aggregating digital repositories. This research was conducted to determine which schema is optimal for moving image description based on the schemas’ level of semantic interoperability. In the context of this analysis, semantic interoperability is defined as the complete and consistent interpretation of elements across records.Twenty-five records were sourced from each repository. Each record was mapped to the metadata schema employed by its repository. The selected records and their crosswalks were then analyzed for completeness and consistency. Upon comparing the analyses of the Dublin Core-based records and the PBCore-based records respectively, it can be determined that both schemas face interoperability issues in the description of moving image records. Thus, optimality of a particular schema for moving image description must be discerned within the context of each particular use.