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Public DMPs

Public DMPs are plans created using the DMPonline service and shared publicly by their owners. They are not vetted for quality, completeness, or adherence to funder guidelines.

Project title  Template  Organisation Owner Download
The incongruity between remote work and the location of service outlets and their consequences for the UK labour market and economy DCC Template City St George's, University of London Tan Do (new window) Opens in new window
Supporting International Students in the Transition to UK Higher Education DCC Template University of Northampton Nadia Hards (new window) Opens in new window
Translating the Science of Reading to the Classroom: Can Teacher Development Workshops in the Science of Reading Improve Spelling in Mainstream Classrooms? (DEMSI Part 2) DCC Template University of York Cameron Downing (new window) Opens in new window
User Experience research for Open Research Library Webpages DCC Template University of Northumbria Vivien Sarkany (new window) Opens in new window
Project 922727: Transforming Eye Care Services: Evaluating The Feasibility And Utility Of Performing Glaucoma Assessments Directly Within Care-homes And Geriatric Clinics DCC Template City St George's, University of London Pete Jones (new window) Opens in new window
Validity, sensitivity and specificity of autism diagnostic assessments in genetic syndromes and other conditions associated with intellectual disability DCC Template University of Surrey Natali Bozhilova (new window) Opens in new window
Network on Neurosymbolic Systems for Medicine DCC Template City St George's, University of London Ernesto Jimenez-Ruiz (new window) Opens in new window
Estimating health burden of violence and abuse using admitted patient care data from hospitals in England DCC Template City St George's, University of London Anastasia Fadeeva (new window) Opens in new window
Aristocratic Networks and Pythagoreanism: Roman Foreign Policy, Cultural Interactions, Family Agendas DCC Template Newcastle University Emiliano Panciera (new window) Opens in new window
FiL-Hyper: Tackling Federated Incremental Learning With Label Noise Via Hypergraph Guided Knowledge Distillation DCC Template City St George's, University of London Rui Zhu (new window) Opens in new window