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Hi all-

We are happy to announce our Metadata Working Group schedule for this January-May 2017. Please save the dates on your calendars and plan to take part if able! If you see a working session or workshop you would also like to help facilitate, email Christina or Marcie.

Note that these sessions reflect the shift of the Metadata Working Group this year towards working sessions and workshops instead of a series of external speakers. We hope to build a network of expertise and resources for supporting metadata work broadly in the Cornell University Library system.

Best,

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.
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