A Duke University Library Research Project: “Data Sciencing Our Journal Subscriptions”
Last fall, Duke University Libraries decided to propose a project for Duke’s Data+ summer program – a summer research experience in data science for undergraduate students. Our project, “Breaking the Bundle: Analyzing Duke’s Journal Subscriptions“, focuses on Duke’s subscriptions to journals published by Elsevier. The program is in its third week, and our team of two incredibly-sharp undergraduates has been hard at work building and blending our datasets. Our goal by the end of summer is to have a proof-of-concept dashboard that lets collection managers adjust the weights of various usage measures to generate an ideal collection of journals for a particular budget.
It is still very early in the process, but the students have been hard at work and have made great progress. We decided it would be best to develop the analysis software and dashboard using R, a statistical computing project with a rich history and many helpful development tools. In addition to publisher-provided views and downloads, the students have been able to use websites and APIs to collect data on journal open access status, editorial boards, numbers of publications, and numbers of citations. All Data+ teams present publicly on the projects twice during the summer, and we hope to schedule a third talk for a library audience before the end of the program on August 2.
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.