Scholarly Publishing develops digital projects in collaboration with the University Libraries and Washington University faculty, staff, and students. Scholarly Publishing assists in the planning and implementation of digital projects, providing support in all aspects, including consulting, imaging, encoding, and copyright considerations.
Should you have a digital project in mind, Scholarly Publishing provides consultation services to help determine if your materials are good candidates for digitization, help limit or expand the scope of your project, assist with metadata encoding, review potential copyright issues and decide how the project should be delivered online. Contact Scholarly Publishing about a digital project.
The Scholarly Publishing offices are equipped with traditional flatbed scanners as well as Atiz BookDrive Pro and DIY scanners to accomodate digitization of various sizes of materials. The BookDrive scanners' V-shaped book cradle allows older or rare materials to be digitized without damaging bindings and the two camera set up expedites image digitization. Both models accomodate up to newspaper size (24.2" x 16.5") materials. Should you be interested in using scanners for your project, staff are available for training on the equipment and to coordinate scheduling of scanning times.
Text encoding, also known as text markup, is the conversion of texts into data. Scholarly Publishing can assist in deciding an appropriate XML standard to encode your project materials based on the resource type. XML encoding allows your project materials and metadata to be interoperable amongst delivery systems and ensures preservation of the data regardless of format. Monographs and books will typically be encoded using the TEI (Text Encoding Initiative) guidelines. The TEI is the de facto standard of marking up text-heavy documents, particularly in the humanities. DLS has used the VRA Core (Visual Resources Association) standard for encoding image based projects and the EAD (Encoded Archival Description) standard for encoding finding aids. While these are the most commonly used standards in DLS projects thus far, our staff are knowledgeable of many other standards that may be applicable to your project, including Dublin Core, CDWA (Categories for the Description of Works of Art), and FGDC (Federal Geographic Data Committee).