McMaster University
This data management plan template is designed to facilitate group collaboration among a diverse range of stakeholders, including artists, researchers, research participants, social service workers, community organizers, and community workers. It is intentionally crafted in plain language to facilitate accessibility and understanding for all parties involved. Additionally, it frames the process as conversation as opposed to a more traditional form, fostering relational approaches to interdisciplinary collaboration.
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.
UMC Utrecht
This DMP aims to collect quantitative human healthcare data from approximately 300 participants. This data will be used to provide an overview of surgical procedures for patients with clefts.
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.
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.
Loughborough University
This DMP aims to collect survey and interview data, in the efforts of creating a resource for empowering and supporting teens to be curious and inquire about positive eating, body weight, and body image.
Newcastle University; Working Group on NIH DMSP Guidance
This DMP will collect data on "audio-recordings of conversations during workshops", observational notes, summary of main points, and videos generated by study participants to answer the research question.
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 Alberta; Digital Research Alliance of Canada
This is a template DMP for mixed-methods research where data is obtained from surveys and qualitative interviews/focus groups.
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.
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."
Umeå University
This DMP aims to collect health data from approximately 30 000 individuals, as well as biological material data. This data will be used in the efforts of understanding the effects of early nutrition on brain development and cognitive/behavioral problems in children.
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 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, phenotypic, and clinical data from 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.
ISPA; CRL
This DMP was created for the HOME_EU project which studies homelessness. The DMP outlines the collection of interview data from 5,600 expected adults across 8 countries.
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.
National Institutes of Health (NIH); National Institute of Child Health and Human Development (NICHD)
This data management plan from the NIH, intended for submission to the NICHD, details a plan to collect and preserve interview data and time diaries from children and their caregivers.
Newcastle University
This DMP aims to collect survey data from a minimum of 30 participants for the purpose of identifying higher order therapy skills.
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.
Universität Passau
This DMP was created for the MARIO project, which aims to use service robots to manage active and healthy aging. This DMP will outline the collection of survey data, patient profile information, and robot interaction datasets.