AQuA– Automated Quality Assurance Project
Manual quality assurance (QA) of digitised content is typically fallible and can result in collections that are marred by a variety of quality issues. Poor storage conditions can result in further damage due to bit-rot. Detecting, identifying and fixing these issues in legacy digitised collections are costly and time consuming manual processes. The Automating Quality Assurance Project (AQuA) will apply a variety of existing tools in order to automatically detect quality issues in digitised collections. Two AQuA events will bring together digital preservation practitioners, collection curators and technical experts to present problematic digitised collections, articulate requirements for their validation, and apply tools to automate the detection and identification of preservation and quality issues. Strong sustainability, take up and dissemination of project results will be ensured by facilitating cross pollination in events that bring together experts from a cross section of organisations and disciplines, an leveraging OPF’s existing role and expertise in preservation technology support.
Project Staff
Project Manager
Bo Middleton
University of Leeds
Head of e-Strategy and Development
m.m.middleton@leeds.ac.uk
0113 3436386