University Libraries & Learning Sciences Faculty and Staff Publications
Document Type
Working Paper
Publication Date
2020
Abstract
The Repository Analytics & Metrics Portal (RAMP) is a web service that leverages Google Search Console (GSC) data to provide a set of baseline search engine performance metrics for a global, cross-platform group of institutional repositories (IR). Since launching in 2017, RAMP has grown from 3 to more than 50 participating repositories. The underlying data are unique in scope and size, and offer many opportunities for novel analyses of IR search engine performance. The data may be augmented to enable additional analyses including metadata mining and bibliometrics. In November 2019, the RAMP team released a publicly available subset of the RAMP dataset, consisting of daily GSC data for 35 participating repositories harvested between January 1 and May 31, 2019. The purpose of this article is to provide information and increased transparency about how RAMP data are harvested, processed, and audited for quality control. This article is also intended to serve as more extensive, complementary documentation for the published dataset and any published research findings that use RAMP data.
Recommended Citation
Wheeler, Jon and Kenning Arlitsch. "Repository Analytics and Metrics Portal (RAMP) Workflow Documentation and Data Definition." (2020). https://digitalrepository.unm.edu/ulls_fsp/141
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
