From Bram Luyten, @mire
@mire released a new version of its Content and Usage Analysis module. The module’s main goal is to visualize DSpace statistics which are otherwise difficult and time-consuming to interpret. By offering a layer on top of those data, DSpace administrator are able to display usage statistics, content statistics, workflow statistics, search statistics and storage reports.
The public statistics introduced in previous versions are still included as well. Moreover, they were even extended. Next to the Statistics by Country page and the Most Popular Items page there is now functionality included to create ‘Most Popular’ lists. These pages are capable of showing usage statistics for every indexed metadata field.
Author statistics: the prime example of metadata based usage reports
The module offers versatile administrator interfaces to create custom graphs and tables. In previous editions of the module, these interfaces were able to group downloads and pageviews by collections, communities, items and bistreams.
This version adds several new dimensions to these custom reports. Statistics can now be limited by specific DSpace objects and their metadata, or on properties of repository visitors, such as their location or User Agent. For example, administrators can now identify how many downloads Professor X has been getting from the UK.
Attractive statistics on different screen sizes
Statlets are widgets that show statistics on pages throughout DSpace. @mire engineers have redesigned the statlets from the ground up with modern and responsive graphics. This way statlets look good on both large and small screens. When you encounter a graph like the one on the right on a page in DSpace, it will automatically adapt to smaller screens. In the case of this particular graph, the days of the week will be abbreviated. For example, Monday becomes Mon., to ensure that all labels will fit the screen.
Like all other publicly available statistics, statlets are equipped with a novel caching system. This mechanism significantly reduces statlets’ loading time.
Showcase your most popular authors
The module is able to generate Most Popular lists, which present the X most popular values of a certain metadata field. An item’s popularity is measured by aggregated number of bitstream downloads, abstract views or the sum of both. End-users can view such lists through a link which is added to the DSpace menu.
An example of such ‘Most Popular’ list is the ‘Most Popular Authors’ list. Use this list to further promote authors whose content is frequently viewed or downloaded.
Request a demonstration
Contact us today to schedule an online demonstration for this new module.