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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
DroneML Data Management Plan NWO (September 2020) University of Amsterdam (Universiteit van Amsterdam) Jitte Waagen (new window) Opens in new window
Using Quantum Material Josephson Junctions to explore Non-reciprocal Superconductivity Data Management Plan NWO (September 2020) Delft University of Technology Mazhar Ali (new window) Opens in new window
Assessing the ecophysiological mechanisms underpinning thermal resilience in native and non-native shellfish in the Wadden Sea. Data Management Plan NWO (September 2020) Wageningen University and Research (Netherlands) Emily Peterson (new window) Opens in new window
Cascading transitions in multistable perception Data Management Plan NWO (September 2020) University of Amsterdam (Universiteit van Amsterdam) Han van der Maas (new window) Opens in new window
Vector valued Orthogonal Polynomials and Multiplicity Free Induction: Deformations and Quantizations Data Management Plan NWO (September 2020) Radboud University Erik Koelink (new window) Opens in new window
Resilience in the picture Data Management Plan NWO (September 2020) Rijksuniversiteit Groningen Vera Heininga (new window) Opens in new window
Developing and Validating a Generalized Structural Equation Model for Social Network Data Data Management Plan NWO (September 2020) University of Amsterdam (Universiteit van Amsterdam) Terrence Jorgensen (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
Next generation immunodermatology (NGID) Data Management Plan NWO (September 2020) Leiden University Medical Center Anna Niehues (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