A custom EPrints solution for SOAS Digital Archives

The School of Oriental and African Studies (SOAS) is undertaking a major digitisation programme for its rich and diverse archives of materials from Asia and Africa. In response to the tender by the Centre for Digital Africa, Asia and the Middle East (CeDAAME) at SOAS in 2009, the University of London Computer Centre (ULCC) proposed and implemented an Open Source E-Prints-based solution for online open access to the digitised materials

Integrating an Institutional CRIS with an OA IR

Poster describing and illustrating work undertaken by ULCC and Symplectic to integrate an existing Symplectic Elements Current Research Information System with a new externally available EPrints Open Access repository, including support for harvesting full-text from UK PubMed Central

SAS Open Journals. Overlaying an Open Journals service onto an institutional repository

In 2011, the School of Advanced Study, University of London (SAS) and the University of London Computer Centre (ULCC) worked jointly to develop the SAS Open Journals Service (SAS OJS). The project was funded by the JISC as part of its Scholarly Communications Programme, and aimed to create an open journal system that interfaced with the existing Institutional Repository (SAS-Space). This poster was presented at the 2012 Open Repositories conference in Edinburgh

Overlaying an Open Journals service onto an Institutional Repository at the School of Advanced Study, University of London

A poster for Open Repositories 2012 describing and illustrating the JISC-funded SAS OJS project and the resulting Open Journals service for the School of Advanced Study

EPrints Geographic Location plugin

Perl code for a Google Maps plugin developed for use in the EPrints-based repository, LSHTM Data Compass

Introducing Hyku: the next-generation repository

Poster presented by Julie Allinson and Rory McNicholl, CoSector, University of London - Introducing Hyku: the next-generation repositor

Practical Preservation with EPrints and Arkivum

Slides for presentation at EPrints User Group, OR201

Transforming scholarship in the archives through handwritten text recognition:Transkribus as a case study

Purpose: An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues. - Design/methodology/approach: This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material. - Findings: Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified. - Research limitations/implications: The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc. - Practical implications: Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field. - Social implications: The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals. - Originality/value: This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector

The IRStats Makeover

A collection of configuration files for use with EPrints and IRstats that help to present IRstats data in a more handsome way