How to search for articles

The Steps:

  1. Find a database by browsing the list here or from the Databases link on the library homepage.
  2.  Click on the link to get into the database
  3. Search the database for articles

How to access an article

Not all articles are available full text! If an article isn't available full text through a database...

  1. Use Get it! Cornell to jump into the Library Catalog to search for the journal by title (not the article title). Once you locate the journal in the Library Catalog (online or print), then determine if we have the volume/year you need
  2. If there is no "Get it! Cornell" link/button, take the title of the journal not the title of the article, into the Library Catalog to find the physical location and/or full text availability of the volume you need.
  3. If you cannot locate the article, Ask a Librarian!

What is Passkey?

Passkey is a bookmarklet (Firefox and IE) that lets you quickly authenticate as a CU person, when you're off-campus. This allows you to access databases.

In Firefox, drag the icon to your bookmarks toolbar or right click and bookmark this location. Control-click (mac users)

In Internet Explorer, right-click the icon, add to favorites

The next time you're off-campus and a publisher asks you to log-in, click the Passkey. You'll be prompted for your CU netid, and that's it! 

Detailed help for installing PassKey

Secondary Journal Articles

Articles & Full text

Search a number of databases at one time by going to the Articles & Full Text link on the library homepage, or go into individual databases for your searches.


library home page with links to the Catalog, Articles & Full Text, Databases, e-Journals, Images

Articles & Full Text searches articles, ebooks, audio files, and video files. It does not search the library catalog (print books and other physical items).

Use the Library Catalog for print books. Also, this system doesn't search all library resources. For comprehensive, or focused searching, go to the Databases link to find subject-specific databases.