Collection Analysis

Anyone in the Minnesota State System should be able to use this link. Unfortunately, we cannot currently provide access to the Power BI service to anyone outside of the system.

This link will lead to the CPBI, including numerous pages of graphs and lists allowing one to explore how the Mankato Journal Collection supports subjects. Generally speaking, there are only 4 categories for collection analysis variables, although they might come from over a dozen datasets: usage, supply, quality, and cost. If there are iterations of these variables across time, we can also display trends.

The power in Power BI comes from the filters on the side. These can be combined in any number. The subject filter comes from ScImago data (derived from Scopus). We have also produced versions including the LCCN from Alma Electronic Resources Holdings.

See the static picture below for an example page from an older version of the CPBI. On this page, the universe of journals with any citation impact were aggregated by decile, where decile 1 would include the top 10% of all journals. These visualizations are sliceable across several variables. In the original version, we include a dozen or so filters for each page, such as subject, LCCN, vendor, publisher, and so on, but in later versions, we scaled back and simplified, so there are only a few filters for each page. This simplification reduced the possibility for errors and, in our view, made the charts more legible.