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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
Use of existing GWAS data from the Manchester Cognitive Ageing Cohort University of Manchester Generic Template University of Manchester Antony Payton (new window) Opens in new window
The effects of study-abroad experience on Chinese in-service college EFL teachers’ identity: A dialogical approach University of Manchester Generic Template University of Manchester QING QIU (new window) Opens in new window
Comparative Study of Global News Framing with Different Narratives: the Lucie Blackman Murder Case University of Manchester Generic Template University of Manchester Yuri Miyata (new window) Opens in new window
FAIR-CURES-RO University of Manchester Generic Template Software Sustainability Institute Shoaib Sufi (new window) Opens in new window
Utilising Physiologically Based Pharmacokinetic Modelling and Simulation for Precision Dosing in Cirrhotic Patients University of Manchester Generic Template University of Manchester Eman Elkhateeb (new window) Opens in new window
FRESH: A cross-sectional, multi-arm survey of the implementation, experience, and perceived impact of the ‘Fresh Eyes’ approach to intrapartum fetal monitoring in the UK University of Manchester Generic Template University of Manchester MEGAN HYSLOP-PEART (new window) Opens in new window
Contemporary twin block appliance wear protocols: A survey of UK orthodontists University of Manchester Generic Template University of Manchester QUEENIE ONG (new window) Opens in new window
Study on neural engagement factors in crowdfunding decision making University of Manchester Generic Template University of Manchester Siobhan Caughey (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
Image Segmentation Using Deep Learning Techniques University of Manchester Generic Template University of Manchester Zeinab Tirandaz (new window) Opens in new window