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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
my AN298 project Data Management Plan for masters & undergraduate students London School of Economics and Political Science Isabella Shakil-Woodford (new window) Opens in new window
Personal development for life beyond LSE Data Management Plan for masters & undergraduate students London School of Economics and Political Science Isabella Parker (new window) Opens in new window
American's Preferences for Degrowth Policies Data Management plan for PhD Researchers London School of Economics and Political Science Dallas O'Dell (new window) Opens in new window
Experimental evidence on the role of framing, difficulty and domain-similarity in shaping behavioral spillovers Data Management plan for PhD Researchers London School of Economics and Political Science Julien Picard (new window) Opens in new window
Verbs and Eyewitness Testimony Data Management Plan NWO (English) Erasmus University Rotterdam Rolf Zwaan (new window) Opens in new window
Governing synergies and trade-offs with SDG2 in Kenya: a local to global study of climate-smart livestock in Kenya Data Management Plan NWO (September 2020) Wageningen University and Research (Netherlands) Rachel Gitundu (new window) Opens in new window
VR for Diversity Data Management Plan NWO (September 2020) Amsterdam University of Applied Sciences (Hogeschool van Amsterdam) Mirjam Vosmeer (new window) Opens in new window
Vici: Tracing Marine Macroplastics by Unraveling the Ocean’s Multiscale Transport Processes Data Management Plan NWO (September 2020) Utrecht University Erik van Sebille (new window) Opens in new window
TIMING: Learning Time in Visual Recognition Data Management Plan NWO (September 2020) University of Amsterdam (Universiteit van Amsterdam) Efstratios Gavves (new window) Opens in new window
Quantification of meltwater storage in Greenland using a statistically-optimal estimation of mass anomalies with satellite gravimetry data Data Management Plan NWO (September 2020) Delft University of Technology Pavel Ditmar (new window) Opens in new window