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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
Molecular and mesoscopic simulations incorporating chemical reactivity: applications to reverse aggregation EPSRC Data Management Plan University of Manchester Andrew Masters (new window) Opens in new window
MatFlow: a computational workflow management platform for reproducible digital materials research EPSRC Data Management Plan University of Manchester Joao Quinta da Fonseca (new window) Opens in new window
xDEA - Vibro-acoustic energy flow in hybrid systems: improving the simulation of engineering structures EPSRC Data Management Plan University of Nottingham Martin Richter (new window) Opens in new window
CV-19: µ-ECTs: Micro-engineered convertible tissues for both AMR and COVID pandemic challenges EPSRC Data Management Plan Loughborough University Tao Sun (new window) Opens in new window
Apparel Advance: towards a sustainable apparel manufacturing ecosystem EPSRC Data Management Plan University of Manchester Steven Hayes (new window) Opens in new window
Into the Strong Field Limit: Ultrafast materials science for a multi-petawatt laser-driven ‘Coherent Harmonic Focus’ EPSRC Data Management Plan Queen's University Belfast Brendan Dromey (new window) Opens in new window
Risk Assessment Of Rare Events (RARE) In A Complex And Uncertain World EPSRC Data Management Plan Heriot-Watt University Al Haji-Ali (new window) Opens in new window
Probabilistic discovery of new microstructure-property relationships in advanced alloys EPSRC Data Management Plan University of Manchester Joao Quinta da Fonseca (new window) Opens in new window
To transform a laboratory-proven disinfection by-product sensor into a validated reliable sensor network for water distribution systems. EPSRC Data Management Plan University of Manchester Stephen Boult (new window) Opens in new window
Approximate Bayesian inference for identifying sub-populations of cells in large scale single cell RNA-Seq data EPSRC Data Management Plan University of Surrey Tom Thorne (new window) Opens in new window