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 - 12 of 12

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.

McMaster University
This DMP aims to collect info data, raw data, processed data, analyzed data, and report data. The goal of the project is to build a research and technology center to develop high-performance methods for biosensing and bioimaging.
University of New Brunswick; Digital Research Alliance of Canada
This is a template DMP for use in projects that combine scientific methods with computer simulations/modelling to study molecular interactions.
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.
National Institutes of Health (NIH); National Institute of Child Health and Human Development (NICHD)
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.
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 genomic, phenotypic, and clinical data from human subjects.

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK); Working Group on NIH DMSP Guidance

This example DMP aims to collect genomic and phenotypic data from 36 human subjects.

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 genomic data from animal (mice) and human subjects.
National Institutes of Health (NIH); National Institute of Child Health and Human Development (NICHD)

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.

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

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.

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.

UC San Diego; Working Group on NIH DMSP Guidance
This is a data management plan from UC San Diego which details a strategy to collect and analyze raw data.