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An Analysis Of Use And Performance Data Aggregated From 35 Institutional Repositories, Kenning Arlitsch, Jonathan Wheeler, Minh Thi Ngoc Pham, Nikolaus Nova Parulian
An Analysis Of Use And Performance Data Aggregated From 35 Institutional Repositories, Kenning Arlitsch, Jonathan Wheeler, Minh Thi Ngoc Pham, Nikolaus Nova Parulian
Copyright, Fair Use, Scholarly Communication, etc.
Purpose – This study demonstrates that aggregated data from the Repository Analytics and Metrics Portal (RAMP) have significant potential to analyze visibility and use of institutional repositories (IR) as well as potential factors affecting their use, including repository size, platform, content, device and global location. The RAMP dataset is unique and public.
Design/methodology/approach – The webometrics methodology was followed to aggregate and analyze use and performance data from 35 institutional repositories in seven countries that were registered with the RAMP for a five-month period in 2019. The RAMP aggregates Google Search Console (GSC) data to show IR items that surfaced …