Access millions of pages of primary source collections across the entire portfolio of Adam Matthew Digital, spanning content from the 15th-21st centuries.
* Award-winning collections spanning the social sciences and humanities, developed in collaboration with leading libraries and archives
* Discover millions of pages of unique primary source content which empower students and researchers to develop critical thinking
* Powerful digital collections that transform teaching and research on important themes such as: Borders and Migrations, Gender and Sexuality, Global History, and War and Conflict
* Wealth of additional features to enhance student engagement including Handwritten Text Recognition, Data Visualisation, Video and Oral Histories
* Single point of access through AM Explorer with built-in federated search functionality across all collections
This resource is designed as an important portal for slavery and abolition studies, bringing together documents and collections covering an extensive time period 1490-2007, from libraries and archives across the Atlantic world. Close attention is being given to the varieties of slavery, the legacy of slavery, the social justice perspective and the continued existence of slavery today. (publisher's website)
"The Notable Kentucky African Americans Database (NKAA) has been developed as a finding aid to bring together a brief description of pertinent names, places, and events, and to list the sources where additional information may be found. This is not currently an all inclusive database, but we are working toward that goal and suggestions are welcomed. "
A list of the African American Studies journals we subscribe to, as well as information about which years we provide access to these titles and links to the electronic databases that contain them (when applicable).
Developing Keywords: A Tutorial
When you are searching our databases for articles, you need to be able to turn your research question into effective keywords. Watch this quick video for tips on reducing a research question into just a few usable keywords.