Inspec Analytics (IET) explores the interconnected data within the Georgia Tech Library’s Inspec database to uncover patterns and trends in engineering, computing, and physics research. With the new database, you can:
Inspec Analytics is available at https://libguides.gatech.edu/az.php?q=inspec. This is the Library's Inspec subscription database. Go to the top row, click Search, and select the drop-down menu choice, Inspec Analytics.
You can also access Inspec Analytics at https://inspec-analytics-app.theiet.org, using VPN if you are working remotely.
The Institution of Engineering and Technology (IET) uses semantic technology to connect each element of the literature indexed in their Inspec database (author, organization, publication, date, subject keywords, etc.) to create the Inspec knowledge graph. Inspec Analytics allows you to navigate this map of science to identify and compare research trends across thousands of organizations and scientific concepts.
For additional information, review IET's Inspec Analytics user guide.
Each of these subjects contains numerous sub-sections within the same genre.