Inglorious Artists

About

For commercial use of any of the images in this corpus, including for academic publications, you must consult the library/collection where these images are housed to inquire about licensing. The publication of these images on this website is not commercial use.

 

This website was created with the generous support of the School of Data Science & Society at the University of North Carolina at Chapel Hill. A seed grant from the school allowed Kathryn Desplanque to work with a research team to translate her NVivo database of art-world graphic satire to a web-based platform, preserving as much as possible the data querying functionalities of NVivo.

 

Prof. Desplanque’s goal in publishing this database of imagery is to:

  • Encourage Humanists to share their data using FAIR principles (Findable Accessibile, Interoperable, and Reusable)
  • Allow readers of Inglorious Artists: Art-World Satire and the Emergence of a Capitalist Art Market in Paris, 1750-1850 to interact with her database while reading her book and use her research as a jumping off point for their own contributions to the field

 

Methods Summary 

  • NVivo is Qualitative Data Analysis (QDA) software. QDA software is commonly used by social scientists to work with qualitative data, such as transcripts from focus groups. This software was easily adapted to work with images. To see how Kathryn Desplanque uses this software with historical images, watch this workshop on YouTube. 

  • Rolando Rodriguez worked with Prof. Desplanque’s “nodes structure”—the tags that she associated to each image—to make them compatible with the Library of Congress Thesaurus for Graphic Materials and the Getty Research Institute Art & Architecture Thesaurus Online.

  • Freya Liu created the custom Omeka S theme for the project and Rolando Rodriguez structured and populated the Omeka S website using images deposited to the Carolina Digital Repository and NVivo metadata cleaned and brought into line with cataloging standards.

  • Lorin Bruckner used these data to create an interactive data visualization using Tableau to allow users to conduct queries, generate data visualizations, and probe images further

 

Project Team:

Kathryn Desplanque, Principal Investigator

Chris Bizon, co-Principal Investigator

David Borland, RENCI Assistant Director of Analytics & Data Science

Lorin Bruckner, Data Visualization Services Librarian

Amanda Henley, co-Principal Investigator

Corbin Jones, co-Principal Investigator

Freya Liu, MSIS candidate at UNC Chapel Hill

Honwei Liu, Research Associate

Kelyne Kenmongue, Project Manager

Rolando Rodriguez, Humanities Data Librarian

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