Published November 26, 2019
| Version v1
Presentation
Open
Analyzing Aggregate IR Use Data from RAMP
Authors/Creators
- 1. University of New Mexico, United States of America;
- 2. University of New Mexico, United States of America; University of Alberta, Canada;
- 3. University of New Mexico, United States of America; University of Alberta, Canada; Montana State University, United States of America
Description
Data collected from 50 institutional repositories (IR) on various platforms and from around the world will be analyzed for this presentation to demonstrate aggregate IR performance, use, and the visibility of content. The Repository Analytics & Metrics Portal (RAMP) is a free web service developed in 2017 with funding from the Institute of Museum and Library Services. The dataset collected by RAMP currently exceeds 300 million rows and it is the only open aggregate data available to evaluate the visibility and use of IR content, diagnose deficiencies with performance, align content with user needs, and optimize metadata for maximum click-through ratios, among myriad other potential uses. This presentation will address several potential research questions that could help improve IR performance and demonstrate the IR value proposition. Methods for extending the RAMP dataset's analytic potential through augmentation with complementary, publicly available datasets will be described. The presentation will encourage audience members to register their own repositories with RAMP and/or to consider additional ways to analyze the dataset.
Files
presentation.pdf
Additional details
Related works
- Has part
- https://lecture2go.uni-hamburg.de/l2go/-/get/v/24776 (URL)