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: 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 36
This DMP outlines the data management process of a human study evaluating the use of a novel drug, Ozurdex on treating Diabetic Macular Edema.
This DMP aims to collect samples from the field to better understand biogenic carbonates through investigating microbes and minerals.
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.
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.
DMP for conducting computational neuroscience research to determine brain function.
This DMP outlines a plan for documenting, managing, and sharing code and (re-)interpretation of secondary data pertaining to protein localization and proteomics.
This DMP will collect and make publicly available tobacco related data in certain African countries to increase research in this field such that a continent-wide approach to tobacco control can be developed.
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.
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.
This DMP aims to collect clinical and demographic data to better understand the association between balance deficits and urinary tract infections as well as low back pain.
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.
This DMP will collect patient data (biometrics, demographics, surveys, & health utilization information) to ascertain the impact of RN-led care management.
This large-scale project aims to generate an integrated model of primary healthcare for refugee clients in Australia. Their DMP is an excellent example of an in-depth process-based DMP that outlines governance; organization, documentation, and storage for all data types; and sharing and access (including how requests should be made).
This DMP will utilize proteomics, biochemistry, genetics, and microscopic tools to understand the role specific proteins play in polarized cell division.
This DMP will measure the relationship between weather observations and prevalence of influence through analyzing and collecting instrument datasets on weather and influenza occurrences.
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.
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.
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.
This is a sample data management plan from the NIH, intended for submission to the NIMH, presenting a proposal to perform secondary analysis on data collected from human subjects.
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.
This sample data management plan from the NIH, intended for submission to the NHGRI, presents a proposal to collect and analyze genomic data from human samples.
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.
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.
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.
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.
This is an example of a data management plan from the NIH, intended to collect clinical, demographic, and dialysis data from research participants.
"This project will perform secondary data analysis on kidney magnetic resonance imaging (MRI) data to determine the parenchymal kidney volume."
This is an example of a data management plan from the NIH, intended to collect data from a phase 3 RCT on preeclampsia.