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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
EDTA Irrigation Protocols Influence the Liberation of Dentine Matrix Components, a Proteomics Insight University of Liverpool Postgraduate Research Student Template University of Liverpool Shihanah Al Othman (new window) Opens in new window
Identifying challenges and opportunities for sustainable parasite control in Thoroughbreds University of Liverpool Standard Template University of Liverpool Aisha Kirby (new window) Opens in new window
Beyond elite consensus? Media coverage of Russia’s invasion of Ukraine in Brazil, India, and South Africa University of Liverpool Standard Template - Depricated University of Liverpool Antal Wozniak (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
The acceptability and feasibility of compassion-focused therapy groups for women with perinatal mental health difficulties University of Manchester Generic Template University of Manchester Charlotte Garrett (new window) Opens in new window
Decontamination of Mercury Polluted- Water and Agricultural Soils in Ghana using Nanotechnology University of Manchester Generic Template University of Manchester David Lewis (new window) Opens in new window
The Continuous Use of Mobile Payment in China and the USA: A Consumer Perspective University of Manchester Generic Template University of Manchester Huiliang Wu (new window) Opens in new window
Meaningful Apps to Nurture Children University of Manchester Generic Template University of Manchester Heena Mistry (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
Image Segmentation Using Deep Learning Techniques University of Manchester Generic Template University of Manchester Zeinab Tirandaz (new window) Opens in new window