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 Sort by plans | Template Sort by templates | Organisation | Owner | Download |
|---|---|---|---|---|
| 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 |
| Understanding the health and social impact of 'Volunteering 4 all', a volunteering programme for out of work individuals. | University of Manchester Generic Template | University of Manchester | Edward Stagg | (new window) Opens in new window |
| London Sexual Violence Project | University of Manchester Generic Template | University of Manchester | Suzanne Hamilton | (new window) Opens in new window |
| Ongoing research | University of Manchester Generic Template | University of Manchester | Dmitry Nikolaev | (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 |
| Passport to Success | University of Manchester Generic Template | University of Manchester | Joao Santos | (new window) Opens in new window |
| Developing an agent framework for biomedical data analysis and autonomous experimental design | University of Manchester Generic Template | University of Manchester | Jingyu Sun | (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 |
| Tests for assessing extended high-frequency hearing in humans: a scoping review | University of Manchester Generic Template | University of Manchester | Melanie Lough | (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 |