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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
Automatising the publication of CEUR-WS.org workshop proceedings Data Management Plan NWO (September 2020) Vrije Universiteit Amsterdam Ilaria Tiddi (new window) Opens in new window
The role of heterogeneity in controlling the geomechanical behaviour of sandstone reservoirs Data Management Plan NWO (September 2020) Other Johannes Miocic (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
Labour Integration of Somali Women in Western Europe, 1980-2022 Data Management Plan NWO (September 2020) Utrecht University Yowali Kabamba (new window) Opens in new window
Spatio-temporal canards and delayed bifurcations in continuous neurobiological networks Data Management Plan NWO (September 2020) Vrije Universiteit Amsterdam Daniele Avitabile (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
Harnessing root‐microbe‐mineral interactions for climate‐friendly soils Data Management Plan NWO (September 2020) University of Amsterdam (Universiteit van Amsterdam) Franciska de Vries (new window) Opens in new window
18651 ADAPTOR: Autonomous Distribution Architecture on Progressing Topologies and Optimization of Resources Data Management Plan NWO (September 2020) Other Georgios Exarchakos (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
Sustainable learning for Artificial Intelligence from noisy large-scale data Data Management Plan NWO (September 2020) Delft University of Technology Kim Batselier (new window) Opens in new window