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 (1472)
Digital Curation Centre (português)
O Papel da Heat Shock Protein 27 em Mulheres Climatéricas: um Estudo Clínico Analítico e Transversal
Claudio Orsatti, Universidade do Oeste Paulista (unoeste.br)
Digital Curation Centre (português)
Estratégias de funcionalização de nanopartículas magnéticas para entrega oral avaliadas por técnicas biomagnéticas
Raffael Willmann, São Paulo State University (unesp.br)
Digital Curation Centre
COMPARISON OF THE RESULTS OF SEROLOGICAL AND MOLECULAR TESTS FOR HBV, HCV AND HIV IN BLOOD DONORS
Elia Fragoso, University of Santander (udes.edu.co)
Digital Curation Centre (português)
Microdeleções na região AZF do cromossomo Y em portadores de Diferenças do Desenvolvimento Sexual (DDS) por anosmalidades cromossômicas 45,X/46,XY e variantes
Laura Salvanini, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (hc.fm.usp.br)
Stanford University Template
DMSP for Stanford Data Management Survey [Year 1]
John Borghi, Stanford University (stanford.edu)
SMART Grants Stage 1 Data Management Plan (DMP)
Innovative Transportation Solutions Project
Mori Byington, United States Department of Transportation (DOT) (transportation.gov)
Digital Curation Centre
Cátedra Abierta: Los recorridos del Patrimonio y la Memoria en el Nor-oriente colombiano. Sistematización de la Experiencia
Sandra Serrano, University of Santander (udes.edu.co)
Digital Curation Centre
“Quality Nursing Care Scale”: Translation and psychometric validation for the Portuguese population
Catarina Antunes, Escola Superior de Enfermagem de Lisboa (esel.pt)
Digital Curation Centre
Sustainable Innovations: The Biorefinery Revolution via Macroalgae Valorization Using Renewable Solvents towards a (Green+Blue)Economy
Leonardo Mesquita, University Of São Paulo
CUHK Data Management Plan Template
A digital learning hub dedicated to learning molecular evolution, drawing insights from Ziheng Yang's seminal books Computational Molecular Evolution and Molecular Evolution: A Statistical Approach.
Sishuo Wang, The Chinese University of Hong Kong
