Automating Data Normalization and Clean-up

Automated metadata enhancement teams

Building your Metadata Toolkit MARC4J OpenRefine

Dirty Data and the last mile problem Poor metadata doesn’t just affect search It complicates aggregations and collaborations like the DPLA Disincentives work to develop systems that make existing metadata more actionable Is a real impediment to innovative work being done in Libraries, but, more importantly, causes those outside of Libraries to really think hard about working with us.

Working with MarcEdit MarcEdit was created with three specific goals in mind: Place metadata decisions and clean up in the hands of technical services professionals Provide easy to use/easy to learn tools the provide both straightforward and advanced editing techniques Provide multiple methods to automated data cleanup – from point and click, to user generate scripts Get Help:

Global Editing Dedicated global editing functions (MARC Agnostic) Add/Delete Fields with a wide range of conditional options Edit Field data Edit Indicators Edit Subfields Swap Data between fields General Replace function Generate Cutters Validate ISBNS Automatically Generate Call Numbers (LC or Dewy)

Global Editing Specialized Edit Tools (MARC21 specific) RDA Helper (MARC21 Specific) Generate Links (MARC21 Specific) Case Management (to fix vendor titles in all upper case, etc.) Validation (MARC21 Specific)

Automating Data Processing MarcEdit Task Management MarcEdit’s tasks allow users to create “programs” that will perform a sequence of edits. Tasks can be shared, and linked to other tasks.

Building Scripts against the API MarcEdit’s processing engine is exposed via an API. Template scripts can be generated via the Script Wizard (right) API Documentation can be found at: marcedit-com-api- documents marcedit-com-api- documents

Find what works for you

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Contact Me: Terry Reese Head of Digital Initiatives University Libraries 175 West 18th Avenue 320F 18 th Avenue Library,, Columbus, OH Office / Mobile / /