On August 5, 2024, Auburn University Libraries will unveil a Discovery search with a new look and feel.
This guide highlights some of the changes you will encounter in layout and navigation.
The AU Libraries home page design will not change.
A screenshot of the new search box is below.
Explore the new look by searching now.
In the Classic Interface, the links to view the resource are listed below the title on a single line. In the New Interface, this information is displayed in a pull down menu format.
The Advanced Search options are less cluttered in the New design.
In the Classic Interface, the filters (also known as facets or limiters) used to modify the search are located on the left panel.
In the New Interface, click "All filters" to bring up the filter list. This process is detailed below in the "Some tools have relocated" section.
Filters in the New Interface are visible when expanded.
The "New Search" and "E-Publication Finder" functions originally located at the top of the
screen in the Classic Interface, are now positioned on the left navigation panel in the New
Interface.
In the Classic Interface, the Subject Guides were separated from the search.
In the New Interface, the Subject Guides are included in the search results!
The New Interface integrates these guides into the search results. The Subject Guides are available at the bottom of the results list labeled "Related resources".
Using the Concept Map
"The EBSCO Concept Map is the visual subject browse and discovery for all EBSCO subject vocabulary data." With the help of the concept map one can devise a precisely worded search that retrieves relevant results filtering out unnecessary hits. This is accomplished by selecting ideas which reflect the intended use of the terms being searched. Here is an example of how this tool helps fine tune the search. In the example below, the researcher searches the term 'articles'. Once the search is initiated, the Concept Map tool displays different uses of the term 'articles' to clarify the researcher's meaning. The user then builds upon these concepts until they develop the ideal search.
See the video below for a demonstration.
