Breaking the Bundle: Analyzing Duke’s Journal Subscriptions

Collaborators: Jeff Kosokoff, Cathy Pin-Chian Lee, Jennifer Zheng

November 2018 to March 2020

Stock photo of a bundle of books floating in front of some math equations.

A data science project to combine and visualize various measures of value for Duke’s journal subscriptions in an attempt to optimize subscription purchases and improve journal pricing transparency.

Responsibilities:

  • Co-led student team during 10-week summer data science experience
  • Compiled raw datasets for team, including the development of scripts to make API calls
  • Post summer, refactored and extended R code generated by student team to improve logic, update Shiny app interface, and make the project more generalizable to different institutions and vendors

Related Links:

Project Outputs:

Presentations at Conferences, Professional Gatherings

  • Zoss, Angela M. (March 10, 2020). Partnering with Data Science Students on Journal Usage Analysis. Presentation at 2020 Electronic Resources & Libraries Annual Conference (ER&L2020), Austin, TX.
  • Kosokoff, Jeff and Zoss, Angela M. (October 2, 2019). Breaking the Bundle: A Duke Libraries Data+ Project. Presentation at Duke University Libraries – First Wednesday Series, Durham, NC.