University of North Carolina at Chapel Hill; Working Group on NIH DMSP Guidance
This DMP aims to collect data obtained from imaging mass cytometry in order to machine learning and computational models that to optimize the technology.
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 genomic data and subsequent phenotype data from cancerous mice models.
McMaster University
This DMP aims to collect info data, raw data, processed data, analyzed data, and report data. The goal of the project is to build a research and technology center to develop high-performance methods for biosensing and bioimaging.
University of California, Santa Barbara; Working Group on NIH DMSP Guidance
This DMP will collect compositional, electrochemical property, and structural data to investigate their effects on the rate of electron transfer and structural stability of such Na-ion cathode materials.
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.
Digital Research Alliance of Canada; University of Waterloo
This DMP example show uses a case study of relativistic astrophysics and gravitational physics data to show how management strategies can support computational reproducibility in High-Performance Computing. Data are the inputs and outputs of the numerical simulation model.
Digital Research Alliance of Canada; University of Waterloo
This is a data management plan example created by the Ecohydrology Research Group at the University of Waterloo. It presents a sample DMP for research work within the field involving laboratory, chemical, biological and numerical data.
University of Waterloo; Digital Research Alliance of Canada
This DMP aims to collect text, binary (ASCII, binary), images, audio, etc. data to develop advanced research computing frameworks and infrastructure for application in various fields like quantum chemistry, biochemistry, machine learning, and artificial intelligence.
University of New Brunswick; Digital Research Alliance of Canada
This is a template DMP for use in projects that combine scientific methods with computer simulations/modelling to study molecular interactions.
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 Ottawa Heart Institute; Metaresearch and Open Science
Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example extracts examples from Beck, Leblanc, and Morissette's systematic review protocol on depression screening of children and adolescents. It outlines a data management plan for a systematic review study.
University of Ottawa Heart Institute; Metaresearch and Open Science
Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example outlines a data management plan for a pre-clinical laboratory animal study. This DMP outlines a project to explore stroke treatments using biocellulose duroplasty with rat subjects.
University of Ottawa Heart Institute; Metaresearch and Open Science
Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example outlines a data management plan for a randomized controlled trial conducted with 100 human participants. Demographic data will be collected from participants, and then other data is collected by an electroencephalogram, electroculogram, electromyogram, as well as video and sound.
National Institute on Aging (NIA); Working Group on NIH DMSP Guidance
This is a DMP for a hypothetical drug discovery including intellectual property using mice: chemical structures, workflows, medicinal and analytical chemistry, histopathology, immunohistochemistry, and PET imaging. Data and protocols are proposed to be shared in PubChem and AD Knowledge Portal.
Johns Hopkins University; Working Group on NIH DMSP Guidance
This DMP aims to collect data on viruses and viral infections in the ocean to better understand which bacteria viruses infect. To do this, the researchers are developing a "high-throughput technique to identify cultures in the environment."
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.
National Institutes of Health (NIH); National Institute of Child Health and Human Development (NICHD)
This is a sample data management plan from the NIH, intended for submission to the NICHD, that describes a plan to create and preserve biological data from different types of fish embryos.
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 genomic, phenotypic, and clinical data from human subjects.
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK); Working Group on NIH DMSP Guidance
This example DMP aims to collect genomic and phenotypic data from 36 human subjects.
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 genomic data from animal (mice) and human subjects.
University of Ottawa Heart Institute; Metaresearch and Open Science
Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example outlines a hypothetical genomic study into acute lymphoblastic leukaemia using blood drawn from patients, healthy volunteers, and mouse models.
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.
National Institutes of Health (NIH); National Institute of Child Health and Human Development (NICHD)
This is an example of a data management plan from the NIH, intended for submission to the NICHD, that details a plan to collect and deidentify clinical, laboratory and genomic data from 1000 participants.
National Institutes of Health (NIH); National Human Genome Research Institute Home (NHGRI)
This is a sample data management plan from the NIH, intended for submission to the NHGRI, that provides an outline for a project involving human genomic and clinical data.
University of Nebraska Medical Center; Working Group on NIH DMSP Guidance
This DMP aims to collect wet-lab cellular data obtained from microscopy, blots, etc. in order to evaluate the role of various immune mediators in periodontitis.
UC San Diego; Working Group on NIH DMSP Guidance
This DMP will utilize proteomics, biochemistry, genetics, and microscopic tools to understand the role specific proteins play in polarized cell division.
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.