Kenning Arlitsch
Dean of the Library
Montana State University
Jonathan Wheeler
Data Curation Librarian
University of New Mexico
Nikolaus Nova Parulian
Doctoral Student/LEADS Fellow
University of Illinois at Urbana-Champaign/Drexel University
Minh Pham
Doctoral Student/LEADS Fellow
University of Missouri Columbia/Drexel University
The Repository Analytics & Metrics Portal (RAMP) is a web service that has generated a large and unique dataset measuring aggregate use and performance of institutional repositories (IR). RAMP collects data about IR items from registered repositories that have appeared in the search results of all Google properties, including the position of each item in the results, the frequency of its appearance, and whether users clicked through to the IR that hosts the item. This briefing will show data aggregated from 35 institutional repositories around the world during the first five months of 2019. Utilizing the data analysis and visualization skills of fellows from Drexel University’s LIS Education and Data Science (LEADS) program, we will demonstrate that higher use ratios are not always the domain of larger repositories. We will also show patterns of use based on repository content and platform, demonstrate the effect of position in search engine results, and show how device use varies by region and affects information-seeking behavior. Finally, we will discuss future research potential and provide attendees with a link to the publicly available dataset, documentation, and sample code for analyzing the data. Attendees will be invited to register their IR with RAMP to contribute to this growing dataset.