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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
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
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
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
FAMCARE Data Management Plan NWO (September 2020) Vrije Universiteit Amsterdam Marjolein Broese van Groenou (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
Hot! Hot! Hot! Fundamentals of Plasmon Catalysis Data Management Plan NWO (September 2020) Vrije Universiteit Amsterdam Andrea Baldi (new window) Opens in new window
Managing a Just Transition out of Covid-19 Data Management Plan NWO (September 2020) Erasmus University Rotterdam Darren McCauley (new window) Opens in new window
Samen voor gezondheid: positieve start voor aanstaande moeders en kinderen. Innovatie en kennisontwikkeling voor en door professionals in Zuid-Limburg en Groningen Data Management Plan NWO (September 2020) Other Marijke Hendrix (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
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
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