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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
Telecom-wavelength single-photon source based on organic erbium molecules University of Manchester Generic Template University of Manchester Huanqing Ye (new window) Opens in new window
Suppressing mutation-mediated resistance through antibiotic combination treatment University of Manchester Generic Template University of Manchester Danna Gifford (new window) Opens in new window
Understanding barriers and facilitators to hearing aid use in teenagers University of Manchester Generic Template University of Manchester Sumeya Abdi (new window) Opens in new window
DEVELOPMENT OF A PROJECT RISK MANAGEMENT FRAMEWORK A STUDY OF AFRICAN MAJOR ECONOMIES University of Manchester Generic Template University of Manchester BABATUNDE DOSUMU (new window) Opens in new window
Developing a Data Note reporting guideline for qualitative health and social care research datasets (the D’NOTE study) University of Manchester Generic Template University of Manchester Hannah Long (new window) Opens in new window
Urban Expansion and Standard of Living in Nigeria University of Manchester Generic Template University of Manchester Muhammad Uthman (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
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
Competitive and soil nutrient controls of tree seedling establishment and survival in old field succession University of Manchester Generic Template University of Manchester Joshua Lynn (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