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2015 Prepared Talk Proposals

2 bytes removed, 15:04, 5 November 2014
Heiðrún: DPLA's Metadata Harvesting, Mapping and Enhancement System
* Audrey Altman, audrey at dp.la, Digital Public Library of America
* Gretchen Gueguen, gretchen at dp.la, Digital Public Library of America
* Mark Breedlove, mark mb at dp.la, Digital Public Library of America
The Digital Public Library of America aggregates metadata for over 8 million objects from more than 24 direct partners, or Hubs, using its Metadata Application Profile (MAP), an RDF metadata application profile based on the Europeana Data Model. After working with the initial system for harvesting, mapping and enhancing our Hub’s metadata for a year, we realized that it was inadequate for working with data at this scale. There were architectural issues; it was opaque to non-developer and partner staff; there were inadequate tools for quality assurance and analysis; and the system was unaware that it was working with RDF data. As the network of Hubs expanded and we ingested more metadata, it became harder and harder to know when or why a harvest, a mapping task, or an enrichment went wrong because the tools for quality assurancewere largely inadequate.
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