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 - 26 of 26

McMaster University
This data management plan template is designed to facilitate group collaboration among a diverse range of stakeholders, including artists, researchers, research participants, social service workers, community organizers, and community workers. It is intentionally crafted in plain language to facilitate accessibility and understanding for all parties involved. Additionally, it frames the process as conversation as opposed to a more traditional form, fostering relational approaches to interdisciplinary collaboration.
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.
CRACKER Consortium
This DMP was created in accordance with the project CRACKER, which aims to “crack the language barrier”. The DMP outlines the collection of various forms of data including, text, audio, video, machine-readable dictionaries, terminological resources, and computational grammars.
Digital Research Alliance of Canada; University of Waterloo

This DMP example show uses a case study of relativistic astrophysics and gravitational physics data to show how management strategies can support computational reproducibility in High-Performance Computing. Data are the inputs and outputs of the numerical simulation model.

Digital Research Alliance of Canada; Western University, Queen's University
This is an example data management plan from the Alliance which aims to create a database of digital products from the Canadian Census of Population. The database includes text base data collected from Statistics Canada.
Digital Research Alliance of Canada; Université de Montréal
This is an example data management plan from the Alliance which describes a fictional research project which involves the collection of soundscapes from monasteries. The fictional researcher intends to collect audio data (WAV files) in order to facilitate analysis.
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.
Uppsala University
This DMP aims to collect semi-structured interview data, participatory observations, media articles, printed materials, and activist documentations. This allows for the examination of how Japan's Shrine Shinto institutions have reacted to the secularism clauses in the country's postwar constitution.
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 Bristol; Digital Curation Centre (DCC)
This data management plan from the Department of Religion and Theology at the University of Bristol aims to create a series of mini-documentaries, a 30m documentary and a photo exhibition on Buddhist Cosmology.
Temple University; Working Group on NIH DMSP Guidance
This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.
University of Bristol
This DMP was created for the ALSPAC study, which is a multi-generation, geographically based cohort study of 14,541 pregnant mothers and their partners, offspring, and children from 1990-1992. This study data was used in a project about parental religious behavior and beliefs.
Montreal Neurological Institute

This DMP aims to collect reaction time, choice, and eye-tracking data which will be used for a mock behavioral and eye-tracking project.

Portland State University; Working Group on NIH DMSP Guidance
This DMP aims to collect linguistic and developmental data to determine how phonological learning and bilingualism impacts development.
Princeton University; Working Group on NIH DMSP Guidance
This DMP aims to collect data from support groups for those abused by clergy and semi-structured interviews to better understand the experiences of survivors of sexual assault.
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.
University of Oregon; Qualitative Data Management Plan (DMP) Competition
This DMP aims to digitize data and create a database of semantics, lexicon, and morphemes to preserve the Nuu-wee-ya' language.
University of Arizona; Working Group on NIH DMSP Guidance
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.