The DReAM Lab at the University of Pennsylvania will be hosting a course on Linked Data for the Humanities in June 2019, featuring the Mapping Manuscript Migrations project and presented by two of Oxford University’s participants in the project: Kevin Page and David Lewis.
This course introduces the concepts and technologies behind the Semantic Web and teaches attendees about the standards and practices that underpin Linked Data. Sessions offer a mix of “under the hood” technical details explaining how Linked Data ticks, alongside examples of applied Linked Data from the presenters’ own humanities research.
Through consideration of these varied uses across the humanities – including musicology, early English literature, and manuscript provenance – attendees will be familiarized with the common patterns by which Linked Data can be applied to their own specialisms.
The course will culminate in a full day studying a major new digital humanities resource from the Mapping Manuscript Migrations project, including data from the Schoenberg Database of Manuscripts, exploring the end-to-end application of Linked Data as a solution for both memory institutions and the researchers using them.
You can register for the course here: http://web.sas.upenn.edu/dream-lab/register/
Manuscript researchers from a range of different disciplinary areas will be meeting on 20th November in the Centre for Digital Scholarship in the Bodleian Library. They will be discussing their research methods and their use of digital resources with staff from the Mapping Manuscript Migrations project.
The results of these discussions will feed into the work of the project, especially its data modelling and the design of its software environment.
The kick-off meeting for the Mapping Manuscript Migrations project was held at the Oxford e-Research Centre in the University of Oxford on 14th-15th September 2017.
Attended by project staff from all four partner institutions, the meeting ranged widely across a range of topics, including governance, project planning, staffing and resources, and dissemination and outreach. We also discussed data modelling, research questions, and technical architecture requirements.
The meeting agreed to form an implementation group, which will meet weekly. The group’s first task is to examine the initial data sources and recommend a data model for the project.