Data Management Plan Database

A Data Management Plan (DMP) describes how you will manage, store, secure, document, and share research data. DMPs can vary broadly across disciplines, methodologies, and data types. DMPs are a growing requirement for grants, and can also guide data practices for individuals and teams. DMP Assistant is a free webtool that guides you through drafting your DMP and the easiest way to start building a DMP. 

Our database gathers examples from across the world including DMPs from the Digital Research Alliance of Canada, National Institutes of Health (NIH), Qualitative DMP Competition, DataOne, Digital Curation Centre, Liber, the Working Group on NIH DMSP Guidance, and UC San Diego Research Data Curation into one searchable, open-access platform. 

Download the amalgamated dataset: https://doi.org/10.5683/SP3/SDITUG

Project Team: Rebeca Gaston Jothyraj (RDM Assistant - 2024), Shrey Acharya (RDM Assistant - 2023), Sarthak Behal (RDM Assistant 2022-23), Danica Evering and Isaac Pratt (RDM Specialists), Debbie Lawlor (Developer).

Data Management Plan Database

Search and Browse Data Management Plans

Displaying 1 - 30 of 78

Washington University in St. Louis; Working Group on NIH DMSP Guidance
This DMP aims to collect data from obese mice to investigate how the nucleus accumbens, a region in the brain changes as individuals gain and lose weight.
University of Tennessee at Knoxville; Working Group on NIH DMSP Guidance
This DMP aims to collect data on the supply and demand for additive manufacturing spare parts in order to optimize the supply chain network.
University of Arizona
This DMP aims to collect data for the creation of an online toolkit for managing shrub encroachment. This data entails articles, reports and other documents, questionnaires and workshop outputs.
Washington University in St. Louis; Working Group on NIH DMSP Guidance
This DMP outlines the data management process of a human study evaluating the use of a novel drug, Ozurdex on treating Diabetic Macular Edema.
University of North Carolina School of Medicine; Working Group on NIH DMSP Guidance
This DMP aims to collect data obtained from wet-lab studies to investigate the immune response in the lungs in response to a bacterial infection of S. pneumoniae.
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.

University of New Mexico; Working Group on NIH DMSP Guidance
This DMP aims to collect samples from the field to better understand biogenic carbonates through investigating microbes and minerals.
UC San Diego
This is a data management plan from UC San Diego which details a plan for the CARE platform, which will create a software tool to access various datasets from selected sources.
Texas A&M University; Working Group on NIH DMSP Guidance
This DMP outlines a plan for experimental testing, characterization, and simulation data for experiments with nickel-titanium shape memory alloys using a laser powder bed fusion additive manufacturing process. This includes thermal and precipitates evolution physics based modelling.
UC San Diego; Working Group on NIH DMSP Guidance
This DMP will collect electrophysiological, histological, and head position data from rats to investigate the firing rate of neurons among other analyses to answer the research question.
Arizona State University; Working Group on NIH DMSP Guidance
This DMP will collect data from surveys "to understand the relationship between traveler behavior, mobility choices, and attitudes and values."
UC San Diego; Working Group on NIH DMSP Guidance
This DMP aims to collect video files in order to develop a video processing software algorithm.
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.

National Institute on Aging (NIA); Working Group on NIH DMSP Guidance
This Data Management Plan example outlines a project based on electronic health record (EHR) data for approximately 15,000 patients in a primary care clinic. Researchers will be reviewing demographic data, as well as data from medical history, laboratory results, medications, physical and cognitive exams. Further, they will conduct cognitive assessments of a subset of 40 individuals.
National Institute on Aging (NIA); Working Group on NIH DMSP Guidance
This is a DMP for a hypothetical project to collect clinical and demographic data from amyloid-positive cognitively normal older adults with symptomatic insomnia. Data will be shared in the National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD).
UC San Diego; Working Group on NIH DMSP Guidance
DMP for conducting computational neuroscience research to determine brain function.
Working Group on NIH DMSP Guidance
This is an example DMP that will collect demographic, clinical, and patient-centric data from banked biological material.
University of New Mexico; Working Group on NIH DMSP Guidance
This is a data management plan that will collect patient and population-level data in order to determine the effectiveness of a new drug, rizatriptan on treating acute migraines at their onset or in a later phase.
Worcester Polytechnic Institute; Working Group on NIH DMSP Guidance
This DMP aims to collect data in order "to develop a system to detect clouds in real time with high accuracy by implementing an intelligent low-cost Cloud Motion Vector System (CMVS) design."
University of Kansas; Working Group on NIH DMSP Guidance
This DMP outlines the steps that will be taken when digitizing herbarium samples include images of herbarium specimens, specimen data, georeferenced data, programming, and more.
Georgia State University; Working Group on NIH DMSP Guidance
This DMP aims to conduct secondary health data analysis including survey and electronic health records to assess substance use amongst women stratified by sexual orientation.
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.
DePauw University; Working Group on NIH DMSP Guidance
This DMP will collect data from surveys that high school students in King County Schools fill out in order to understand drug use among this population.
Washington University in St. Louis; Working Group on NIH DMSP Guidance

This DMP aims to collect demographic, clinical, and patient data in the form of MRI scans as well as patient placenta and tissue data from pregnant people diagnosed with fetal CHD.

Yale University
This DMP aims to collect analytical data and documentation to evaluate the effects of relative humidity fluctuations on paper permanence.
University of Michigan
This is an engineering DMP template for NSF proposals.
Appalachian State University; Working Group on NIH DMSP Guidance
This DMP aims to collect electrophysiological and micrograph data in order to investigate obesity particularly in women.
Western Carolina University; Working Group on NIH DMSP Guidance
This DMP outlines care for patient data (biometrics, demographics, surveys, and health utilization information) to ascertain the impact of RN-led care management.
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.