Digital publishing is popular among digital humanists, allowing research findings to be shared without the constraints of traditional print formats. Learn more about tools and see example projects, like online books or exhibits, webpages, and audio or visual projects.
Types of Multimodal Publishing and Tools
Omeka is an open source publishing tool that enables you to create dynamic online exhibits that showcase collections of digital images, text, and other multi-media formats in one seamless site. Create a free online account, host your own copy, or work with the library on a longer-term publication.
Scalar is an open source, web-based publishing application from the University of Southern California’s Alliance for Networking Visual Culture that allows you to create networked, multimodal online publications. The platform is particularly strong for creating long-form essays with multimedia. Create a free Scalar account online. Additionally, those working on a formal publication with Scalar may be able to work with the library to publish their work.
Example projects using Scalar: FemTechNet Critical Race and Ethnic Studies Pedagogy Workbook, The Kiplings and India, Making the Perfect Record
Digital Scholarly Editions
Digital scholarly editions are versions of works (typically textual but increasingly of other varieties as well) that have received scholarly editing treatment that brings together historical variations in editions and brings scholarly knowledge of the text’s publication and circulation to bear. Digital scholarly editions have many things in common with traditional scholarly editing, but take advantage of the digital realm to include features that would be impossible or impractical to include in a print context.
Digital scholarly editions are most typically created using text encoding, which is a process where documents are transferred to an electronically searchable format for digital humanities research. Referring to marking up digital text in a machine readable and universally shareable manner, text encoding lends itself to many scholarly activities such as publishing, searching, and text analysis. The Text Encoding Initiative (TEI) is a consortium of developers who maintain guidelines for the representation of texts in digital form and provide schemas for reference. Marking up a text in TEI ensures that your documents are machine readable and potentially shareable to the greater research community. Marking up documents in a standard such as TEI also facilitates later republication or updating of the digital interface because the underlying TEI document can stay the same.
Example project using text encoding: Walt Whitman Archive
- TAPAS (TEI Archiving, Publishing, and Access Service)
- TAPAS allows you to upload your TEI data into a repository, publish it in a human readable format, and share it with other scholars.
- oXygen is an XML editor, allowing you to modify your XML document to follow the TEI standard. oXygen is available in the Scholarly Commons.
Examples of audio/visual projects include documentaries, podcasts, and other multimedia presentations. Equipment and facilities for these types of productions are available in the Media Commons in the Undergraduate Library. Video and audio editing software is available in the Scholarly Commons. Consider booking the Visualization Wall or Virtual Reality Lounge at the IDEA Lab to showcase your project.
Websites and Blogs
WordPress is an online webpage development application that allows you to create webpages in a variety of styles. This is a paid service, but comes with customer support and is easy to use for those new to web design.
Example projects using WordPress: The Uses of Scale in Literary Study
Published Data Sets
Publishing a data set with an accompanying essay describing the data collection methods is becoming increasingly popular in the DH world. Journals like the Journal of Open Humanities Data publish these data sets and essays, provided that they have a high potential for reuse.
Examples of published data sets: Early African-American Film Database 1909-1930, NovelTM Datasets for English-Language Fiction, 1700-2009