Publication Date

10-27-2017

Document Type

Poster

Start Date

27-10-2017 3:45 PM

End Date

27-10-2017 5:00 PM

Description

Libraries face many challenges in managing descriptive metadata for ebooks, including quality control, completeness of coverage, and ongoing management. The recent emergence of library management systems that automatically provide descriptive metadata for e-resources activated in system knowledge bases means that ebook management models are moving toward both greater efficiency and more complex implementation and maintenance choices. Automated and data-driven processes for ebook management have always been desirable, but in the current environment, they are necessary. In addition to initial selection of a record source, automation can be applied to quality control processes and ongoing maintenance in order to keep manual, eyes-on-work to a minimum while providing the best possible discovery and access. This poster shows how metadata analysis at the University of Minnesota Libraries use Python scripts to address these challenges.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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Oct 27th, 3:45 PM Oct 27th, 5:00 PM

Evaluating and Loading Ebook Metadata from OCLC WorldShare Collection Manager

Libraries face many challenges in managing descriptive metadata for ebooks, including quality control, completeness of coverage, and ongoing management. The recent emergence of library management systems that automatically provide descriptive metadata for e-resources activated in system knowledge bases means that ebook management models are moving toward both greater efficiency and more complex implementation and maintenance choices. Automated and data-driven processes for ebook management have always been desirable, but in the current environment, they are necessary. In addition to initial selection of a record source, automation can be applied to quality control processes and ongoing maintenance in order to keep manual, eyes-on-work to a minimum while providing the best possible discovery and access. This poster shows how metadata analysis at the University of Minnesota Libraries use Python scripts to address these challenges.