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

中文翻译：

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分析来自35个机构存储库的使用和绩效数据

目的

这项研究表明，来自存储库分析和度量门户（RAMP）的汇总数据具有分析机构存储库（IR）的可见性和用途以及影响其使用的潜在因素（包括存储库大小，平台，内容，设备和全局性）的巨大潜力。地点。RAMP数据集是唯一且公开的。

设计/方法/方法

遵循网络计量学方法，以汇总和分析来自七个国家/地区的35个机构存储库的使用和绩效数据，这些数据已在RAMP中注册，为期5个月（2019年）。RAMP汇总了Google Search Console（GSC）数据以显示IR项目，出现在所有Google产品和服务的搜索结果中。

发现

分析表明，整个IR的性能差异很大，总体使用率较低。研究结果还表明，设备的使用会影响搜索行为，电子论文和学位论文（ETD）等不同的内容类型可能会影响使用，并且起源于Global South的搜索显示的移动设备使用率要高于Global North。

研究局限/意义

RAMP依靠GSC作为唯一的数据源，因此总体数字有些保守。但是，数据也有望像希望的那样不受机器人的限制。

创意/价值

这可能是对使用公开发布的数据集的全球IR集合得出的总体使用情况和绩效数据的首次分析。RAMP数据在量化和表征IR含量的可发现性和用途方面提供了巨大的研究潜力。

同行评审

本文的同行评审历史记录可在以下网址获得：https://publons.com/publon/10.1108/OIR-08-2020-0328