Mark Hedges

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(31 articles) e-science collections Articles on similar topics can be found in the following Email alerting service here in the box at the top right-hand corner of the article or click Receive free email alerts when new articles cite this article-sign up Several virtual research environments (VREs) have been developed to address specific tasks or(More)
This paper presents first steps towards implementing a data layer to support a semi-automated preservation management system for research data in the arts and humanities. We suggest to use e-Science technology and grid middleware to implement a virtualised storage system for research data. We will outline how iRODS (Rule-Oriented Data management System)can(More)
Recent work in digital humanities has seen researchers increasingly producing online editions of texts and manuscripts, particularly in adoption of the TEI XML format for online publishing. The benefits of semantic web techniques are underexplored in such research, however, with a lack of sharing and communication of research information. The Sharing(More)
——Ancient documents represent a primary source for research in the humanities. A substantial body of digital material has evolved containing information about these documents. Unfortunately these digital resources are often held within myriad locations, owned by a range of groups or individuals, are held within a diverse range of formats and are either(More)
A project of the AHRC Connected Communities Theme 2 Executive Summary This project sought to establish a credible definition for, and the current state of the art of, crowd-sourcing in the humanities. The questions included what the humanities have learned from other research domains, where crowd-sourcing is being exploited, what the results are, why(More)
Ancient texts represent a primary source for research in the classics. A substantial body of digital material has evolved enriching these texts. Unfortunately these data are often distributed across myriad locations, stored in diverse and incompatible formats and are either not available online or are made available only in isolation. This paper describes(More)
This paper presents how an e-Humanities High Throughput Computing application can be embedded in an e-Humanities ecosystem using a restful services based approach. The HiTHeR application is a text mining agent to create automatically chains of readings for e-Humanities research on historical collections. We show how we developed the text mining agent and(More)