Know Your Data: Metadata Quality Control for Content Migration



Journal Title

Journal ISSN

Volume Title



Migration of digital objects from one digital asset management system to another creates an opportunity to clean and standardize descriptive metadata through automated analysis and remediation. This presentation will discuss how the University of Houston Libraries developed scripts that programmatically access the data in the UH Digital Library through the existing digital asset management system’s application programming interface (API), reports used to identify and correct problems, and plans for publishing UHDL data as linked data.


This presentation was given at the Texas Library Association Annual Conference, by invitation from the conference program committee, at the George R. Brown Convention Center in Houston, TX on Friday, April 22nd, 2016.


metadata, automation, data migration, digital objects, Metadata, Automation, Data migration, Digital objects