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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
Self-Injury in young Bisexual people: a Longitudinal investigation (SIBL) University of Manchester Generic Template University of Manchester Sophie Coleman (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
The incidence of new carious lesions and tooth loss in patients who have received radiotherapy for Head and Neck Cancer and been placed on a preventative Fluoride and CCP-ACP regime: a retrospective case series from a single unit University of Manchester Generic Template University of Manchester martin breslin (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
Guilt and shame amongst mentally unwell offenders - Interviews with Legal and Clinical Professionals University of Manchester Generic Template University of Manchester Piyush Pushkar (new window) Opens in new window
Analysis of Blockage to Sustainable Peacebuilding on the Korean Peninsula: Counter-Peace Dynamics in the Kaesong Industrial Complex University of Manchester Generic Template University of Manchester Moonbo Sim (new window) Opens in new window
Exploring Sensory Experiences of Public Transport from the Perspectives of People Living with Dementia University of Manchester Generic Template King's College London James Fletcher (new window) Opens in new window
Guilt and shame amongst mentally unwell offenders - Legal Professionals University of Manchester Generic Template Not applicable Unknown (new window) Opens in new window
Identifying Barriers to Learning in the Presentation of Difficult History University of Manchester Generic Template University of Manchester Althea Cupo (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