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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 (1318)

  • Featured
NSF-ENG: Engineering

Research Initiation: Exploring the Role of Project Authenticity in Engineering Technology Capstone Design Projects

Rustin Webster, Purdue University System (purdue.edu)
  • Featured
Digital Curation Centre (português)

Qualidade de vida de famílias e indivíduos que têm Síndrome de Rett no Brasil (Quality of life of families and individuals with Rett Syndrome in Brazil)

Debora Gusmão Melo, Universidade Federal de São Carlos (ufscar.br)
  • Featured
Digital Curation Centre

International Regulatory and Trade Compliance – The Impact on Small Firms

Thomas Behr, Arizona State University (asu.edu)
  • Featured
Arctic Data Center: NSF Polar Programs

NSF-BSF: Coastal Ocean Processes of North-East Greenland

Andreas Muenchow, University of Delaware (udel.edu)
  • Featured
NIH-GDS: Genomic Data Sharing

Mosquito evolution in response to a dengue envelope protein-guided insecticidal peptide

Christopher Kearney, Baylor University (baylor.edu)
  • Featured
Digital Curation Centre (português)

Qualidade de vida de famílias que têm filhos com doenças genéticas raras e/ou deficiência intelectual

Debora Gusmão Melo, Universidade Federal de São Carlos (ufscar.br)
  • Featured
USDA-NIFA: National Institute of Food and Agriculture

Understanding a Natural Disease Tolerance Phenomenon Using a Metabolic Modeling-Based Approach

James Borneman, University of California, Riverside (ucr.edu)
  • Featured
USDA-NIFA: National Institute of Food and Agriculture

PLANT BREEDING PARTNERSHIP: A Metabolic Modeling-Based Strategy to Accelerate the Citrus Genetic Engineering Process

James Borneman, University of California, Riverside (ucr.edu)
  • Featured
USDA-NIFA: National Institute of Food and Agriculture

STARS - Soil Testing, Analysis, and Risk-management System: Developing precision molecular tools to detect, predict, and enhance soil health

Mary Burrows, Montana State University (MSU) (montana.edu)
  • Featured
NSF-ENG: Engineering

Designing an Intelligent Cloud Motion Vector Sensor (CMVS) System to Detect Clouds and Forecast Real-time PV System Performance

Maqsood Mughal, Worcester Polytechnic Institute (wpi.edu)