Public Plans
Public plans are plans created using the DMP Tool service and shared publicly by their owners. They are not vetted for quality, completeness, or adherence to funder guidelines.
Plans (120)
SMART Grants Data Management Plan (DMP) Updated 2025
Seattle SMART Grant Digital Commercial Vehicle Permit Project
Sarah Gallagher, United States Department of Transportation (transportation.gov)
NIH-Default DMSP
Increasing Trial Enrollment of Rural Residents in ARDS Clinical Trials
Dustin Krutsinger, University of Nebraska Medical Center (unmc.edu)
NIH-NIMH: The National Institute of Mental Health (DEPRECATED - use 2026 NIH format)
Cognitive and Arousal Mechanisms Linking Sleep and Internalizing Psychopathology in College Students: A Prospective, Multi-Method Study
Emily Bartholomay, University of Nebraska at Kearney (unk.edu)
NIH-Default DMSP
Interaction of maternal immune activation and risk genes in ASD-related learning diabilities
First Last, University of Delaware (udel.edu)
NIH-Default DMSP
Computational methods for benchmarking and development of best practices for virus discovery and characterization in the HVP consortium
Daniel Park, Broad Institute (broadinstitute.org)
NIH DMS Plan Format 2023 Version (Allowed for due dates prior to May 25th, 2026)
Alzheimer’s Collaborative Creating CDEs using CDM (A4C)
Christopher Chute, Johns Hopkins University (jhu.edu)
NIH DMS Plan Format 2023 Version (Allowed for due dates prior to May 25th, 2026)
A minimally invasive, wireless stent for the treatment of hypertension using neural stimulation.
Jonathan Viventi, Duke University (duke.edu)
NIH DMS Plan Format 2023 Version (Allowed for due dates prior to May 25th, 2026)
Functional Outcomes in Conduction System Pacing
Ajay Pillai, Virginia Commonwealth University (vcu.edu)
NIH DMS Plan Format 2023 Version (Allowed for due dates prior to May 25th, 2026)
Target trial emulation of nonoperative versus operative management of acute appendicitis for older patients
Courtney Balentine, University of Wisconsin–Madison (wisc.edu)
NIH DMS Plan Format 2023 Version (Allowed for due dates prior to May 25th, 2026)
Quantifying the Value of Clinical Decision Support Tools in Military SICUs: A Machine Learning Approach to Predictive Care, Cost-Efficacy, and Health Services Delivery
Emily Ricotta, Uniformed Services University of the Health Sciences (usuhs.edu)
