Open Data to Measure the Use and
Performance of Institutional Repositories
a web service of Montana State University and The University of New Mexico
How does RAMP work?
The Repository Analytics and Metrics Portal (RAMP) tracks repository items that have surfaced in search engine results pages (SERP) from any Google property. RAMP does this by aggregating Google Search Console (GSC) data from all registered repositories.
RAMP data are collected from GSC in two separate sets: page-click data and country-device data. The page-click data include the handle (aka URL) of every item that appeared in SERP. This dataset creates significant possibilities for additional research if the metadata of those items were mined. RAMP data are as free of robot traffic as possible and they contain no personally identifiable information.
RAMP data include the following metrics:
- Impressions – number of times an item appears in SERP
- Position – location of the item in SERP
- Clicks – number times an item URL is clicked
- Click-Through Ratios – number of clicks divided by the number of impressions
- Date – date of the search
- Device – device used for the search
- Country – country from which the search originated