Purposeful Metrics:

Bruns, Todd; Inefuku, Harrison W.

doi:10.2307/j.ctt1wf4drg.21

Cited by 3 publications

(1 citation statement)

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“…Bruns and Inefuka assert that metrics must be contextualized to be useful and that download statistics are only part of assessing IR performance, but when discussing the collection download counts from the big three IR platforms (DSpace, EPrints and Digital Commons), they suggest using platform-generated statistics and do not question the accuracy of those numbers (Bruns and Inefuku, 2015). Some research has indicated that platform-generated statistics may be inflated by as much as 85% because they rely on log file analysis, and nonhuman traffic is very difficult to filter (Greene, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

An analysis of use and performance data aggregated from 35 institutional repositories

Arlitsch

Wheeler

Pham

et al. 2020

OIR

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PurposeThis 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/approachThe 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 in search results from all Google properties.FindingsThe analyses demonstrate large performance variances across IR as well as low overall use. The findings also show that device use affects search behavior, that different content types such as electronic thesis and dissertation (ETD) may affect use and that searches originating in the Global South show much higher use of mobile devices than in the Global North.Research limitations/implicationsThe RAMP relies on GSC as its sole data source, resulting in somewhat conservative overall numbers. However, the data are also expected to be as robot free as can be hoped.Originality/valueThis may be the first analysis of aggregate use and performance data derived from a global set of IR, using an openly published dataset. RAMP data offer significant research potential with regard to quantifying and characterizing variances in the discoverability and use of IR content.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0328

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Section: Literature Reviewmentioning

confidence: 99%