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 - 5 of 5

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.

University of California, Davis; Working Group on NIH DMSP Guidance
This DMP aims to collect and sample data from the Twitter API for subsequent use in social science research to better understand social media communication during a crisis.
University of Colorado Boulder; Working Group on NIH DMSP Guidance
This DMP aims to collect data along a stretch of the Canadian Artic to establish a baseline level of pollen that will be compared to current modern levels of pollen so that the effect of climate change on the Artic and subarctic ecosystems can be ascertained.
National Institutes of Health (NIH); National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

This sample data management and sharing plan proposes a secondary data analysis of existing kidney magnetic resonance imaging (MRI) data. This secondary data will be accessed from the database of Genotypes and Phenotypes (dbGaP). The goal of this research is to produce a clinical dataset of kidney volume, estimated using a neural network.

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.