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

Data Management Plans Overview

Search and Browse Data Management Plans

Displaying 1 - 8 of 8

Advanced Biometrics: Heavy Metals in Estuarine Copepods

Original Source

N/A; Working Group on NIH DMSP Guidance

This DMP aims to collect meteorological, physiochemical, environmental, and copepod population data to determine the effect of heavy metal on Estuarine Copepods.

CAREER: Probing Function in Paramagnetic Sodium Electrodes

Original Source

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.

Clinical data from human research participants

Original Source

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.

EAGER: High-throughput, culture-independent technique identifying cyanobacteria infections to improve understanding of carbon biogeochemical cycling

Original Source

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."

Human Survey Data

Original Source

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.

Signature for Pain Recovery IN Teens (SPRINT)

Original Source

Stanford University; Working Group on NIH DMSP Guidance

This DMP aims to collect patient clinical data in order to develop a guideline to diagnose teens suffering from MSK pain.

Study on Mhealth and Reproductive Health in Teens

Original Source

Harvard University

This DMP aims to collect survey data in pdf, video, and image formats. This data will be collected for the SMART trial, in efforts to study mental and reproductive health in teens.

Survey and Interview Example

Original Source

National Institutes of Health (NIH); National Human Genome Research Institute (NHGRI)

This is an example of a data management plan from the NIH, intended to collect anthropologic and public policy data from surveys and interviews.