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Analyzing Aggregate IR Use Data from RAMP

Authors: Arlitsch, Kenning; Wheeler, Jonathan; Askey, Dale;

Analyzing Aggregate IR Use Data from RAMP

Abstract

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.

Open Repositories 2019, Hamburg, Germany

Keywords

analytics tools, data analysis, data science, IR assessment, Web analytics, institutional repositories; analytics; assessment; Repository Analytics and Metrics Portal

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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