Alaska Regional Office (AKRO); NOA Fisheries
This DMP was created for the Catch Accounting System, which aims to create total catch estimates for the groundfish fisheries. This DMP outlines the collection of digital numeric data, imagery, photographs, video, audio, database, and tabular data.
University of Vienna (PHAIDRA)
This DMP was created for the Beacon project, which aims to develop and test the tools necessary for the assessment of bentonite mechanical evolution. Data collected will include images, observational data, experimental data, and physical data.
National Institutes of Health (NIH); National Institute of Mental Health (NIMH)
This is a sample data management plan from the NIH, intended for submission to the NIMH, presenting a proposal to collect and analyze demographic, clinical and MRI data from human subjects.
National Institutes of Health (NIH); National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
This is an example of a data management plan from the NIH, intended to collect clinical, demographic, and dialysis data from research participants.
University of Calgary; Digital Research Alliance of Canada
This is a template DMP for use in systematic review projects in any field.
Cégep de Sherbrooke; Digital Research Alliance of Canada
This DMP aims to collect digital, tabular, and graphic data on plastic production parameters, environmental conditions, and inspectional measures among other factors to optimize the industrial extrusion process.
University of Waterloo; Digital Research Alliance of Canada
This DMP aims to collect photographs, Raman data, and lab data to develop new and efficient techniques for synthesizing two-dimensional perovskites at lower temperatures.
University of Cambridge; University of Vienna (PHAIDRA)
This DMP was created for the DIGIWHIST project which aims to systematically evaluate information on public procurement in 35 jurisdictions across Europe. Data collected includes procurement data, and public sector data.
DYNACOMP consortium; University of Vienna (PHAIDRA)
This DMP was created for the DYNACOMP project, which aims to set up a training network for the design of advanced structural composite materials. Data collected includes mainly numerical data.
TRACK Consortium
This DMP was created for the TRACK project, which aims to benchmark and identify energy efficiency opportunities for buildings. The DMP will outline the collection of publication data, datasets, technology data, data models, pictures, videos, audio, interview data, and building data.
University of Vienna (PHAIDRA)
This DMP was created for the EVE project, which aims to promote a sustainable approach to creating new hi-tech ground vehicle systems. It will intend to deal with raw data, and analyzed data.
Johns Hopkins University; Working Group on NIH DMSP Guidance
This DMP aims to collect and create a public dataset of over 4000 MRI and CT scans of patients with various brain illnesses including but not limited to acute stroke and manual lesions.
ISGLOBAL
This DMP was created for the Harmonic project which aims to collect cancer patient data, cardiac patient data, as well as biomarker analysis data. The overall goal of the project is to build two cohorts of pediatric populations treated with medical ionizing radiation. The two cohorts are cardiac patients and cancer patients.
Florida PALM Consortium
This DMP was created for the Florida PALM project, which aims to implement a statewide accounting system.
National Science Foundation (NSF)
This DMP was created by the NSF as a template for Engineering.
UNIPI
This DMP was created for the PRIMAGE project which works in the area of medical imaging, artificial intelligence, and childhood cancer research. The project will collect data such as clinical data, biomarker information, and images.
University of Bath
This DMP is a template for the department of Mechanical Engineering at the University of Bath.
University of Edinburgh
This DMP aims to collect technical documents, and interview data from modeling entrepreneurs, and bank workers. This data will be used in the effort of investigating how machine learning is being integrated into finance.