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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
FAIR-CURES-RO University of Manchester Generic Template Software Sustainability Institute Shoaib Sufi (new window) Opens in new window
Development of modelling tools for vertical axis turbines University of Manchester Generic Template University of Manchester Omar Sherif Mohamed (new window) Opens in new window
Creating synthetic data for social science projects: Machine-learning and Agent-based modelling go head to head University of Manchester Generic Template University of Manchester Jools Kasmire (new window) Opens in new window
Scoping review: Does current evidence justify or challenge the use of the Fresh Eyes approach for intrapartum fetal monitoring in maternity services? University of Manchester Generic Template University of Manchester MEGAN HYSLOP-PEART (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
A Precision Medicine Approach to Hearing Loss Associated with Enlarged Vestibular Aqueduct University of Manchester Generic Template University of Manchester Haroon Saeed (new window) Opens in new window
Sustainability of open source science projects University of Manchester Generic Template University of Manchester Yo Yehudi (new window) Opens in new window
An Urban Information System framework for Planning Metropolitan Regions: The Case Study of Housing in Mumbai Metropolitan Region, India. University of Manchester Generic Template University of Manchester Amish Sarpotdar (new window) Opens in new window
OVerlapping Jurisdictions and a Theoretical Framework for Interdependence between International Courts and Tribunals University of Manchester Generic Template University of Manchester Gordon Dim (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