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 - 18 of 18

University of North Carolina at Chapel Hill; Working Group on NIH DMSP Guidance
This DMP aims to collect data obtained from imaging mass cytometry in order to machine learning and computational models that to optimize the technology.
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.

University of Nevada, Las Vegas; Working Group on NIH DMSP Guidance
This DMP aims to collect data from structured interviews and secondary data from COVID-19 hospitalizations and social distancing mobilization in Florida county health departments. This will be done in an attempt to understand "the roles and patterns of institutional collaborative mechanisms across scale and functions that are used to overcome collective action dilemmas produced by the COVID-19 pandemic."
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.
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."
The University of Texas at Dallas; Working Group on NIH DMSP Guidance
This DMP aims to collect data in order to better understand neocolonialism in the context of "unethical policies, practices, and systemic violence in early 21st Century International Development."
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 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, phenotypic, and clinical data from 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.

University of Nebraska Medical Center; Working Group on NIH DMSP Guidance
This DMP aims to collect wet-lab cellular data obtained from microscopy, blots, etc. in order to evaluate the role of various immune mediators in periodontitis.
High Point University; Western Washington University; Working Group on NIH DMSP Guidance
This is a DMP for conducting ethnographic research in order to ascertain the impact of novel urban policies in Nicaragua.
University of Massachusetts Amherst; Working Group on NIH DMSP Guidance
This DMP aims to collect data to answer the following research question: "Why did the United States and Germany extend the franchise to racialized minorities respectively in the 1960s and 1990s whereas Austria persisted their disenfranchising citizenship policy?"
Inter-university Consortium for Political and Social Research (ICPSR)
This is a sample data management plan created by the ICPRSR, intended to be edited and customized by the user. It is a general data management template with basic information filled in to give researchers an idea of where to start.
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.