Mining MARC Metadata:
Using Bibliographic Data in
Digital Humanities Projects
Allison McCormack
Original Cataloger for Special Collections
Marriott Library, University of Utah
@_brarian
Rachel Wittmann
Digital Curation Librarian
Marriott Library, University of Utah
@rachelwittmann
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Finding Rare Records
MarcEdit Export
Isolating Country Data
Normalization Rules
Editing Country Data
Editing Country Data
Data Cleanup
Geographic Data
- Match location codes MARC metadata to location names using a v lookup formula
LC Classification
- Parse first letter of call number for LC Classification category, then match with v lookup formula
- Identify and extract earliest year of publication
Mapping Infographic
- Considerations: ArcGIS Online vs. Tableau
- Free vs. Paid
- Mapping + more
Tableau Public vs. Desktop
- Public limitations
- Source data
- Data size
Work is Public
Learning Curve
- Many online tutorials
- Most important concepts:
- Data Structure
- Worksheets = visualizations
- Dashboards = combined visualizations
- Stories = combined dashboards
Rare Books
by
US State
Rare Books
by
Country
Next Phase
- Finish bibliographic metadata cleanup
- Continue to improve Tableau visualizations
- Analyze and compare Rare Books digital collection analytics with physical usage statistics
- Explore more robust classification analysis and subject topic models
Thank you!
https://tinyurl.com/mcwidhu419
Allison McCormack
Original Cataloger for Special Collections
allie.mccormack@utah.edu
@_brarian
Rachel Wittmann
Digital Curation Librarian
rachel.wittmann@utah.edu
@rachelwittmann
Mining MARC Metadata (DHU4 2019)
By Rachel Jane Wittmann
