Find an Expert: Capability Map
Build a ‘first pass’ capability map by typing in a search term that could be said to represent a broad research capability.
Welcome to the Find An Expert Capability Mapping tool. This tool visualises how researchers relate to other researchers via search terms.
Enter a research area into the search field above and press ‘Search’. The resulting diagram displays the search term, rendered in orange, connected to the blue group of researchers that are active in that area. Enter another search term to see how researchers from both searches relate. Keep adding search terms to build a capability map (for instance flood, fire, disaster). You can also view this demo for disaster management to explore a detailed example.
Tip: you can expand a broad search term into smaller concepts by clicking ‘search and expand’. As examples, try expanding search terms such as ‘law’, ‘cancer’, ‘diabetes’, or ‘refugee’.
Interacting with the visualisation
By clicking on any node in the visualisation, additional information can be viewed in the ‘Info’ tab on the right-hand side. For groups of people, the participants in the group and their information can be viewed, and individual researchers can be removed from the graph. Selecting a search term will display all attached groups. Under each group full information for each person is retrieved, and the number of matching grants and publications for each researcher within the mapped capabilities is shown. Clicking on a researcher's name will lead to the original search results.
To make the visualisation easier to read, search terms and groups are scaled according to the number of results returned. Groups are also given different shades according to the number of connected search terms. The darker the shade, the more search terms a group is connected to.
Changing the cutoff value
The amount of researchers retrieved for each search term for is limited by the cutoff value in the search form (10 by default). Increasing this cutoff will increase the likelihood of an intersection between different search terms. This will also increase the complexity of the graph, however, and may make it difficult to identify patterns.
Once you have built a graph, you might wish to ‘save it for later’. The graph itself can be exported and imported from the ‘Data’ tab. Exporting the graph in such a manner preserves all mapped capabilities, as well as respecting any people or nodes removed from the graph manually. To preserve the data, copy the data from the text field and save it. To re-import the graph at a later point, the data can be pasted back into the field, and ‘Import Graph Data’ selected.