JSTOR Publishes White Paper on Digitization of Arabic-Language Materials
In 2017, JSTOR received a grant from the National Endowment for the Humanities to study processes for digitizing Arabic-language scholarly content. Our goal was to develop a workflow for scanning Arabic journals that is cost-efficient, feasible to implement at scale, and able to produce high-quality images, metadata, and fully searchable text.
In a recently released white paper, “Digitizing printed Arabic journals: is a scalable solution possible?,” ITHAKA’s Anne Ray, Senior Licensing Editor, and John Kiplinger, Director of Production, contextualize JSTOR’s investigation in the broader landscape of digital scholarly journal literature in Arabic, document our approach and findings from this project, and report on some areas for further research. Among its conclusions, the paper establishes that it is possible to digitize Arabic language journals with a high degree of accuracy, and that cost could be reduced through continuous improvements in the optical character recognition software engine. This exploration was conducted in collaboration with the American University in Beirut and the Open Islamicate Text Initiative.
Direct to Full Text White Paper
105 pages; PDF.
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.