What's in this article:
- About open content on JSTOR
- How to find early journal content on JSTOR
- How to find open access content on JSTOR
- How to download the OCR of JSTOR's Early Journal Content and Open Access Ebooks
About open content on JSTOR
JSTOR has made journal content published before 1923 in the United States (and prior to 1870 elsewhere) available for free online. This “Early Journal Content” includes more than 500,000 public domain articles from more than 200 journals on the JSTOR platform.
How to find early journal content:
There are a few ways to find open-access, early journal content on JSTOR. For 19th Century British Pamphlets, you can browse the journals included here:
But that's not all that's available in open content. If you go to advanced search, you can select a date range for the time period you're interested in. If you're not a member of a subscribing institution, make sure you select "Content I can access" as your access type before you hit search. That way results you get will include open content.
How to find open content:
The easiest way to search open content is to go to the open content page and use the basic search.
Keep in mind that open access isn't the only way to get free content on JSTOR. Sometimes publishers will make their content available to read online for free with a MyJSTOR account. Here are some resources that will help you get access to content for free on JSTOR:
- Learn to limit your search to things you can read and download
- Learn how to get free access to content with a MyJSTOR account
How to download the OCR of JSTOR's Early Journal Content and Open Access eBooks
We encourage broad use of the early journal content, including for non-commercial purposes. For more detailed information, please refer to the Early Journal Content section in our Terms & Conditions of Use. For text mining purposes relating to conducting research in the field of Digital Humanities, JSTOR provides a free Early Journal Content data bundle via the Data for Research program that includes full-text OCR as well as article and title-level metadata.