CALL FOR PAPERS
The AHRC-funded project, Beyond the Multiplex: Audiences for Specialised Film in English Regions, and The Digital Humanities Institute invite papers for a methodology workshop on the topic Data Modelling in the Humanities to be held at the University of Sheffield on Friday 29th November 2019.
The aim of this workshop is to explore new approaches to structuring, organising and analysing Humanities data in order to better represent the subject domain in question, and leverage new forms of inquiry.
A data model is an abstract representation of a knowledge domain, such as film, nineteenth-century crime and justice, or the lineages and networks of monastic orders. Data models can use a variety of approaches to describing, structuring and storing data such as ontologies, UML, relational databases, graph databases, RDF/triplestores, XML schemas etc. Data models also determine what types of data analysis are possible, in terms of querying, visualisation, and natural language understanding. They might be used in research concerned with, for example, historical inquiry, scholarly editing, prosopography, discourse analysis, manuscript studies, or virtual reconstruction.
This is a fact-finding workshop, to discover what work is currently being undertaken in the Digital Humanities, and share insights and best practice. Practitioners working on projects or in research areas that use approaches more complex or experimental than conventional relational databases or TEI XML are particularly encouraged (although the former are not to be discouraged!)
Registration is free. UK and EU travel costs will be reimbursed.
Interested speakers are invited to submit an abstract (maximum 800 words) for a presentation lasting 20 minutes by 20th October 2019 to firstname.lastname@example.org.
Speakers will be expected to contribute their paper to an online edited volume called Data Modelling in the Humanities, to be published by The Digital Humanities Institute (see https://www.dhi.ac.uk/openbook/series/studies-in-the-digital-humanities)