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Metadata Working Group Steering Committee

Working Session on Metadata Application Profiles: January 20th, 1:00-2:30 PM

• Format: Interactive Working Session
• Place: Uris Library B05 Classroom

• Proposed Outcomes for Participants: 

  • Know what a metadata application profile (MAP) is and what purposes it serves
  • See examples of MAPs from Cornell Library work areas
  • Work in groups or alone to generate a MAP for specific systems, workflows, or applications
  • Expand understanding of the various uses and needs for metadata across CUL

Library Carpentry Workshop - Shell, Data Structures, Git, SQL: February 20th, 10:00 AM-4:00 PM with hour for lunch

• Format: All-day Workshop
• Place: Mann Library B30A

• Proposed Outcomes for Participants: 

  • Know basics of data structures with particular relevance for library metadata
  • Know basics of working in a Command Line Interface with bash/shell and examples of doing so with metadata
  • Know basics of SQL, with examples and use cases for metadata in particular
  • Be able to run simple scripts and programs, understanding how this works with relevance for metadata work
  • Know basics of Git and version control, be able to create a repo, push a change, check version of a dataset, etc.

Python & OpenRefine for Metadata Analysis: March 17th, 1:00-3:00 PM

• Format: Workshop
• Place: Place to be announced
• Proposed Outcomes for Participants: 

  • Understand metrics by which to measure or assess metadata (completeness, quality, usage/frequency, ...)

  • Understand basic structure of Python scripts available for measuring metadata from various repositories and stores at Cornell

  • Understand how to use OpenRefine to assess state of datasets with particular preference for assessing metadata

    • facets

    • GREL lookups

    • completeness percentage / generation

    • Other Metadata QA metrics as defined/requested

OpenRefine Advanced & Catmandu for Batch Metadata Enhancement: April 21st, 1:00-3:00 PM

• Format: Workshop
• Place: Mann Library Stone Classroom

• Proposed Outcomes for Participants: 

  • Be able to perform batch updates on metadata, including but not limited to:

  • Converstion/mappings

  • Subject normalization

  • Name reconciliation

  • Abstract or text blob cleanup (remove invalid characters, unnecessary whitespace, etc.)

  • Split or merge fields

  • Other normalization/enhancement work as requested

  • Push back to original or needed data format

Presentation by Invited Speaker Karen Estlund: May 11th, 1:00-2:30 PM

• Format: External Expert Presentation
• Place: Place to be announced
• Invited Speaker: Karen Estlund, the Associate Dean for Technology and Digital Strategies for Penn State Libraries.
• Topic to be announced.