The Scholars’ Lab at the University of Virginia Library and the Center for History and New Media (CHNM) at George Mason University are pleased to announce a collaborative “Omeka + Neatline” initiative, supported by $665,248 in funding from the Library of Congress. The Omeka + Neatline project’s goal is to enable scholars, students, and library…. Continue reading “Scholars’ Lab and CHNM Partner on “Omeka + Neatline””.
Our NEH-funded Neatline project has inspired the Scholars’ Lab to develop or enhance several new Omeka plugins recently. (See our full list.) One of these is FedoraConnector, which is designed to enable administrators to attach Fedora datastreams (a digital object — whether image, XML like TEI or EAD, or video) to Omeka items. This is…. Continue reading “Building Omeka Exhibits with Fedora Repository Content”.
In our work on Neatline, we have made a deliberate choice to start by restraining our work to map-sources that are quickly and easily provided through WMS. This leaves out (for now) two popular sources of map imagery; Google Maps and Open Street Map. I’m going to explain why we made that choice, and why, when we do come to make these sources usable with Neatline, we will do so with great care and with an eye to scholarly method.
Because I have a keen interest in the description of cultural heritage artifacts and in doing interesting things with metadata, in recent months I have developed a handful of Omeka plugins to meet these interests. My first foray into plugin development for the application was with the EAD Importer. The EAD Importer, as the name…. Continue reading “Expanding the Capabilities of Omeka”.
- Bigger nozzles, faster printing
- Apply for 2016-2017 Graduate Fellowship in Digital Humanities
- Ready for Praxis? Apply by February 26 for the 2016-2017 cohort
- Working with D3, Part 2
- Working with D3, Part One.
- Learning to Use 3D Printers for the Digital Humanities
- Classical Archaeology and the Makerspace
- Reflections on a Year of DH Mentoring
- The Ghost in the Graph: A Recap on Time, Things, and Entanglement
- A Former Fellow’s New Adventures in Data Science