The Repository Analytics and Metrics Portal (RAMP) is a web service that aggregates use and performance use data of institutional repositories. RAMP produces a unique and open dataset of standardized metrics across time. 

Why Participate in RAMP?

Research libraries invest considerable resources in creating and maintaining institutional repositories. There is an understandable need to demonstrate that IR are being used. RAMP is a unique set of metrics that can help demonstrate IR use, track IR performance, or diagnose IR discovery problems.

RAMP data also provide tremendous opportunities for research beyond what is addressed here. As RAMP adds additional participants, the dataset becomes increasingly useful for our community. Visit our Documentation page for an overview of research possibilities for RAMP data.

Open Data

RAMP data are aggregated in an Elasticsearch index. Each registered institution has access to a set of dashboards on Kibana, “an open source front end application that sits on top of the Elastic Stack.” Our Documentation page includes more information about our first published RAMP dataset, supporting scripts, manuscripts, and presentations.


RAMP was developed by Montana State University, The University of New Mexico, OCLC Research, and Association of Research Libraries with funding from the Institute of Museum and Library Services. RAMP is currently administered by Montana State University Library and The University of New Mexico Libraries.

Launched in early 2017, RAMP aggregates data from more than 60 institutional repositories around the world. We continue to add new repositories. RAMP tracks items from registered repositories that have surfaced in search results across all Google properties, including data that show whether users clicked through to the IR and downloaded the item file.

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