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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
Robust Decision-Making for Inland Waterway Transport Businesses TU Delft Data Management Plan template (2021) Delft University of Technology Ronaldus Lassooij (new window) Opens in new window
Reducing Avoidable Admissions in Acute Hospital Care: The role and impact of Same Day Emergency Care Services The University of Sheffield Research DMP The University of Sheffield Ciarán McInerney (new window) Opens in new window
GRAIL (Getting Responsible about AI and machine Learning in research funding and evaluation) - Workshop series The University of Sheffield Research DMP The University of Sheffield Denis Newman-Griffis (new window) Opens in new window
test test University of Edinburgh Magdalena Drafiova (new window) Opens in new window
The effect of obesity on cardiovascular disease: mediation analysis with Mendelian randomization Template for Swedish Research Council Karolinska Institutet Arvid Sjölander (new window) Opens in new window
Academic research on redox biology and selenoprotein function Swedish Research Council Template Karolinska Institutet Elias Arnér (new window) Opens in new window
Optimizing Medication Use and Treatment Decision-Making for people with Chronic Kidney Disease Swedish Research Council Template Karolinska Institutet Juan Jesus Carrero (new window) Opens in new window
Vattenutbytet mellan oceanerna genom både atmosfären och havet i ett varmare klimat. Swedish Research Council Template Stockholm University Kristofer Döös (new window) Opens in new window
ENVIRONMENTAL AND OCCUPATIONAL NOISE EXPOSURE IN RELATION TO INCIDENCE OF TYPE 2 DIABETES, INCLUDING THE ROLE OF AIR POLLUTION AND METABOLIC SYNDROME COMPONENTS Swedish Research Council Template Karolinska Institutet Göran Pershagen (new window) Opens in new window
Safe Artificial Mental Models for Cyber-Physical Systems Learning Swedish Research Council Template KTH Royal Institute of Technology David Broman (new window) Opens in new window