Best Practices for Metadata Normalization in Digital Collections Management
When it comes to metadata normalization in digital collections, the optimal approach is utilizing the collection management system. While this process can be labor-intensive and require manual effort, automated methods can be employed at various stages, such as on source databases and during metadata exports. This overview highlights the crucial considerations, including the importance of performing normalization close to content providers, the need for validation services, and the necessity for analyzing outputs to identify errors effectively.
Best Practices for Metadata Normalization in Digital Collections Management
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Presentation Transcript
Metadata Normalization (Stein) Runar Bergheim
About Metadata Normalization The best place to perform normalization is in the collection management system of the Digital Collection That, however, requires a lot of manual labor At the cost of precision, automated methods will be applied May be applied on source database May be applied to metadata exports as part of ”Data Transformation” May be applied to metadata in repositories ”along the way” to – or in – Europeana
Important Considerations • Should happen at – or close to – the content providers site • Content provider • National/regional Aggregators • Need validation services • End-user service is not good for bulk-checking of quality/content validation • Need analysis output with highlighting of errors
