Impact factions: assessing the citation impact of different types of open access repositories | SpringerLink

Institutional repositories (IR) maintained by research libraries play a central role in providing open access to taxpayer-funded research products. It is difficult to measure the extent to which IR contribute to new scholarship because publisher self-archiving policies typically require researchers to cite the “version of record” of a manuscript even when an IR copy is accessed to conduct the research. While some studies report an open access (OA) citation advantage resulting from the availability of self-archived or “green” OA manuscripts, few have sought to measure an OA citation effect of IR separately from disciplinary repositories, including arXiv and PubMed Central. In this study, the authors present a bibliometric analysis examining correlations between search engine performance of items in IR, OA availability from different types of repositories, and citations. The analysis uses a novel, open dataset of IR access and usage derived from five months of Google search engine results pages (SERP) data, which were aggregated by the Repository Analytics and Metrics Portal (RAMP) web service. Findings indicate that making OA copies of manuscripts available in self-archiving or “green” repositories results in a positive citation effect, although the disciplinary repositories within the sample significantly outperform the other types of OA services analyzed. Also evident is an increase in citations when a single manuscript is available in multiple OA sources.

Dryad Data — Repository Analytics and Metrics Portal (RAMP) 2020 data

“The Repository Analytics and Metrics Portal (RAMP) is a web service that aggregates use and performance use data of institutional repositories. The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (http://rampanalytics.org), consisting of data from all participating repositories for the calendar year 2020. For a description of the data collection, processing, and output methods, please see the “methods” section below….”

Repository Analytics and Metrics Portal – Web analytics for institutional repositories

“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….”

Repository Analytics & Metrics Portal (RAMP)

“Montana State University, the Association of Research Libraries, the University of New Mexico, and OCLC Research have joined as partners to examine the difficulties that libraries face in producing accurate reports on the use of their digital repositories.

The Repository Analytics & Metrics Portal (RAMP) is a web service that improves the accuracy of institutional repository (IR) analytics and provides IR managers with the following capabilities:

Persistent access to accurate counts of file downloads from IR.
Implementation with minimal training or configuration.
The potential to aggregate IR metrics across organizations for consistent benchmarking and analysis….”

Repository Analytics & Metrics Portal (RAMP)

“Montana State University, the Association of Research Libraries, the University of New Mexico, and OCLC Research have joined as partners to examine the difficulties that libraries face in producing accurate reports on the use of their digital repositories.

The Repository Analytics & Metrics Portal (RAMP) is a web service that improves the accuracy of institutional repository (IR) analytics and provides IR managers with the following capabilities:

Persistent access to accurate counts of file downloads from IR.
Implementation with minimal training or configuration.
The potential to aggregate IR metrics across organizations for consistent benchmarking and analysis….”