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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
Long term cardiovascular risk prediction in the acute care setting University of Manchester Generic Template University of Manchester charlie reynard (new window) Opens in new window
The Effects of Hearing Adjustment on Ease and Effectiveness of Communication, and the Role of Cognitive Resources University of Manchester Generic Template University of Manchester Stephanie Loukieh (new window) Opens in new window
Exploring Chinese EFL teachers’ identities during their study-abroad experiences: A Dialogical-Self-Theory approach University of Manchester Generic Template University of Manchester QING QIU (new window) Opens in new window
Engineering evolutionary trajectories in Bdellovibrio to develop sustainable crop protection University of Manchester Generic Template University of Manchester Danna Gifford (new window) Opens in new window
Covid-19: An exploration of pathogen-related data sharing during a pandemic University of Manchester Generic Template University of Manchester Yo Yehudi (new window) Opens in new window
Understanding the health and social impact of 'Volunteering 4 all', a volunteering programme for out of work individuals. University of Manchester Generic Template University of Manchester Edward Stagg (new window) Opens in new window
Delineating a full phenotype of health, neurodevelopment and adaptive functioning in children and young adults with Fetal Valproate Spectrum Disorder. University of Manchester Generic Template University of Manchester Matthew Bluett-Duncan (new window) Opens in new window
Relationship between standard(s) and innovation practices with respect to circularity in ship-decommissioning projects University of Manchester Generic Template University of Manchester Anupam Dey (new window) Opens in new window
'Vicky:' a draft psychology-based intervention to increase the uptake of cervical screening during and after the COVID-19 pandemic: FOCUS GROUP University of Manchester Generic Template University of Manchester Diane Elizabeth Halliwell (new window) Opens in new window
Image Segmentation Using Deep Learning Techniques University of Manchester Generic Template University of Manchester Zeinab Tirandaz (new window) Opens in new window