TY - JOUR
T1 - An analysis of use and performance data aggregated from 35 institutional repositories
AU - Arlitsch, Kenning
AU - Wheeler, Jonathan
AU - Pham, Minh Thi Ngoc
AU - Parulian, Nikolaus Nova
N1 - Publisher Copyright:
© 2020, Kenning Arlitsch, Jonathan Wheeler, Minh Thi Ngoc Pham and Nikolaus Nova Parulian.
PY - 2021/3/15
Y1 - 2021/3/15
N2 - 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 in search results from all Google properties. Findings: The 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/implications: The 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/value: This 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 review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0328
AB - 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 in search results from all Google properties. Findings: The 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/implications: The 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/value: This 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 review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0328
KW - Academic publishing
KW - Digital repositories
KW - Institutional repositories
KW - IR
KW - Web analytics
KW - Webometrics
UR - http://www.scopus.com/inward/record.url?scp=85095692564&partnerID=8YFLogxK
U2 - 10.1108/OIR-08-2020-0328
DO - 10.1108/OIR-08-2020-0328
M3 - Article
AN - SCOPUS:85095692564
SN - 1468-4527
VL - 45
SP - 316
EP - 335
JO - Online Information Review
JF - Online Information Review
IS - 2
ER -