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

UMC Utrecht
This DMP aims to collect quantitative human healthcare data from approximately 300 participants. This data will be used to provide an overview of surgical procedures for patients with clefts.
University of Montreal

This DMP aims to collect calculations, simulations, publications, presentations, and experimental design work. The goal of the project is to comprehend and control the quantum dynamics of light-induced excited states in condensed matter.

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.

Loughborough University
This DMP aims to collect survey and interview data, in the efforts of creating a resource for empowering and supporting teens to be curious and inquire about positive eating, body weight, and body image.
University of Kansas; Working Group on NIH DMSP Guidance
This DMP aims to collect data to establish a novel mode of interaction between fluids and solids.
Universidad Politécnica de Madrid; Working Group on NIH DMSP Guidance
This DMP looks at light pollution samples acquired by photometers followed by subsequent analysis.
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.

University of Waterloo; Digital Research Alliance of Canada

This DMP aims to collect text, binary (ASCII, binary), images, audio, etc. data to develop advanced research computing frameworks and infrastructure for application in various fields like quantum chemistry, biochemistry, machine learning, and artificial intelligence.

University of Alberta; Digital Research Alliance of Canada

This is a template DMP for mixed-methods research where data is obtained from surveys and qualitative interviews/focus groups. 

University of Calgary; Digital Research Alliance of Canada

This is a template DMP for use in systematic review projects in any field.

University of Waterloo; Digital Research Alliance of Canada
This DMP aims to collect photographs, Raman data, and lab data to develop new and efficient techniques for synthesizing two-dimensional perovskites at lower temperatures.
University of Ottawa Heart Institute; Metaresearch and Open Science

Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example extracts examples from Beck, Leblanc, and Morissette's systematic review protocol on depression screening of children and adolescents. It outlines a data management plan for a systematic review study.

University of Ottawa Heart Institute; Metaresearch and Open Science

Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example outlines a data management plan for a pre-clinical laboratory animal study. This DMP outlines a project to explore stroke treatments using biocellulose duroplasty with rat subjects.

University of Ottawa Heart Institute; Metaresearch and Open Science

Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example outlines a data management plan for a randomized controlled trial conducted with 100 human participants. Demographic data will be collected from participants, and then other data is collected by an electroencephalogram, electroculogram, electromyogram, as well as video and sound.

Umeå University
This DMP aims to collect health data from approximately 30 000 individuals, as well as biological material data. This data will be used in the efforts of understanding the effects of early nutrition on brain development and cognitive/behavioral problems in children.
University of Ottawa Heart Institute; Metaresearch and Open Science

Developed by researchers for the University of Ottawa Heart Institute, this guidance and worked example outlines a hypothetical genomic study into acute lymphoblastic leukaemia using blood drawn from patients, healthy volunteers, and mouse models.

National Institutes of Health (NIH); National Institute of Child Health and Human Development (NICHD)
This data management plan from the NIH, intended for submission to the NICHD, details a plan to collect and preserve interview data and time diaries from children and their caregivers.
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.

University of Arizona; Working Group on NIH DMSP Guidance
This document is an in-depth process Data Management Plan for the OSIRIS-REx project. This outlines generation and validation of mission, spacecraft, instrumentation, calibration, algorithms, software, and other data for an asteroid sample return project.
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.

Harvard University
This DMP aims to collect survey data in pdf, video, and image formats. This data will be collected for the SMART trial, in efforts to study mental and reproductive health in teens.
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.
UMC Utrecht
This DMP aims to collect a pseudonymized/anonymized dataset from a minimum of 28 patients from the department of Ophthalmology. This data will be used in the effort of analyzing the visual outcome of children after epilepsy surgery.
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. 

Working Group on NIH DMSP Guidance
This DMP will collect different wavelengths of light to analyze star formation regions in the Milky Way.
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.