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 - 20 of 20
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 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 will collect patient data (biometrics, demographics, surveys, & health utilization information) to ascertain the impact of RN-led care management.
This DMP will collect genetic data from experiments to understand and provide a solution to the "increase in "insecticide resistance in mosquito vectors of human pathogens."
This DMP aims to collect linguistic and developmental data to determine how phonological learning and bilingualism impacts development.
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 anthropologic and public policy data from surveys and interviews.
This is an example of a data management plan from the NIH, intended to collect data from a phase 3 RCT on preeclampsia.
This DMP will use longitudinal speech data of cancer survivors from another study to develop a Machine Learning model that can increase participant compliance with health lifestyle habits.