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 31 - 50 of 50

Oregon State University; Working Group on NIH DMSP Guidance
This DMP aims to collect marine data in order to determine the impact climate change has on marine fish and how they have responded.
Universität Passau
This DMP was created for the MARIO project, which aims to use service robots to manage active and healthy aging. This DMP will outline the collection of survey data, patient profile information, and robot interaction datasets.
University of Alberta; Digital Research Alliance of Canada

This is a DMP example for a fictional research study that will use a mixed-methods approach to collect participant data from interviews, surveys, and focus groups. This example uses the new Alliance Simplified Template (Funding Application Stage) which focuses on 5 questions that are helpful for a DMP that meets new Tri-Agency requirements.

National Institute on Aging (NIA); Working Group on NIH DMSP Guidance
This DMP aims to collect videographic data to generate cardiac physiological profiles taking into consideration behavioral and autonomic nervous system data from 500 subjects.
National Institute on Aging (NIA); Working Group on NIH DMSP Guidance
This DMP supports a study on rodent electrophysiology, behavior, and imaging data, which will be archived in Distributed Archives for Neurophysiology Data Integration (DANDI).
Monash University; Working Group on NIH DMSP Guidance
This large-scale project aims to generate an integrated model of primary healthcare for refugee clients in Australia. Their DMP is an excellent example of an in-depth process-based DMP that outlines governance, organization, documentation, and storage for all data types, and sharing and access (including how requests should be made).
University of Birmingham
This DMP was created for the PANINI Project which focuses on healthy aging research from a multi-disciplinary perspective. The data collected for this project includes personal data, biological samples, questionnaires, and blood samples.
University of Guelph
This DMP aims to collect numeric data on tomato characteristics to study how to increase diversity in processing tomato breeding lines in Ontario.
McMaster University; Offord Center for Child Studies

This DMP aims to collect questionnaires, personal data, computer-based tasks & output, ECG’s, EDA’s, videos, audio recordings, data analysis files, linkage data, interviews, and transcripts. This data will be used for the Promoting Healthy Families project, which will assess whether Triple P and COSP can help promote healthy family relationships.

Cégep de Jonquière; Digital Research Alliance of Canada
This DMP aims to collect qualitative and quantitative data from semi-structured interviews and surveys to evaluate how millennials adapt to adulthood.
DataOne
This DMP aims to collect data on water resources of the Rio Grande in an effort to create a geodatabase.
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 Mental Health (NIMH)
This is a sample data management plan from the NIH, intended for submission to the NIMH, presenting a proposal to perform secondary analysis on data collected from human subjects.
National Centre for Healthy Ageing
This DMP aims to take a population approach for monitoring dementia frequency, risk factors and management. The DMP will outline the collection of clinical data, patient data, and other health data.
National Institute on Aging (NIA); Working Group on NIH DMSP Guidance
This sample DMP aims to collect data from an accelerometer, surveys, and semi-structured interviews from 250 participants.
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.
National Institute on Aging (NIA); Working Group on NIH DMSP Guidance
This DMP from the National Institute on Aging (NIA) aims to add to an existing longitudinal project by conducting another wave of data collection from 13 000 web-surveys and 200 health exams. This will be shared under a restricted use agreement.
McMaster University

This is a student data management record created by the vascular dynamics lab. Although it was created for students working within this lab and is structured for kinesiology related research, it has broad applicability as an exit protocol for labs working across Natural and Health Sciences. 

University of Manitoba; Digital Research Alliance of Canada

This DMP aims to collect clinical data for 1000 women for an observational study to assess the effectiveness of a cardiovascular screening program and identify any potential biomarkers that are predicative for cardiovascular disease.

University of Zurich; ETH Zurich; University of Cambridge; Digital Curation Centre (DCC)
This data management plan aims to extend an existing study on the same topic by creating new data from surveys. This DMP also deals with sensitive identifiable data and anonymization practices.