June 4-7, 2018
Bozeman, Montana, USA
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DT01: Metadata mastery
Tools and techniques for managing, maneuvering and improving metadata Notes
DSpace REST Reporting Tools – A REST Based Application within DSpace 6
Georgetown University Library, United States of America
The DSpace 6.0 release included a powerful set of reporting features for collection administrators. As DSpace 6 adoption grows across institutions, these tools will be a useful tool for managing and normalizing metadata within DSpace. Additionally, these reports demonstrate the type of functionality that can be built upon a DSpace REST interface.
This presentation will provide a step by step walk through of the DSpace REST report tutorial that can be run on demo.dspace.org. The presentation will highlight the underlying REST calls being invoked in each step of the tutorial.
After the presentation, attendees will have the ability to rerun this tutorial on demo.dspace.org or on a local DSpace instance running DSpace 6.0.
Coding with Ruby to fix and improve metadata during our institutional repository migration
Oregon State University, United States of America
Oregon State University had an institutional repository that was in need of migration to a new open source repository platform. Having more than 60,000 items in the repository meant that custom software would be written to process and publish each item. As part of the migration, our desire was to improve and fix our metadata quality. Configuring custom Ruby methods for each type and element of metadata gives our software the ability to handle the wide range of missing or poor metadata during migration. We will demonstrate major features of our software, called DSpace2Hydra (D2H), including BAG metadata extraction, custom methods for fixing and improving metadata, translating metadata to JSON, and posting metadata to a server.
Mother spreadsheet, father template: unconventional ways for massive XML/RDF/structured data generation from flat sources
Metropolian New York Library Council, Chile
The bridge between source (meta)data and remote, complex data structures ruled by a growing number of metadata standards/ontologies/APIs and their diverse digital repositories implementations has been a dark, intimidating and dangerous place, especially if you want to (let people) cross it alone at night. "Mogrifying" and shaping data from its source, native representations, which surprisingly in the year 2018 are still primarily spreadsheets, to the demands of the to-be-deposit-into systems have been traditionally aided by a combination of patience, deep knowledge, homebrew tools, long-lasting technologies like XSLT, XQuery, OpenRefine and newer like SHACL among so many others. This presentation showcases a different unified, open source way of doing massive/flexible data ingest developed over the last year and currently in production. This approach uses a templating engine named Twig and flat tabular data (spreadsheets) as the source to produce diverse data representations reducing time and effort when ingesting resources into Fedora Commons based systems like Islandora (but not limited to!). After showcasing our success stories we will discuss the potential of this method for migrations (e.g XML to RDF, Solr to hierarchical, API to API?) and real-time generation of desired end-user formats (e.g IIIF manifests) plus, of course, its shortcomings.
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