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

University of Leuven
This DMP was created for the ATLAS project which aims to explore autonomous intraluminal surgery. The data collected includes CBCT data, Pre-operative CT or MRI volumetric dataset, optical tracking data, images, sensor data, motor data, ultrasound data, and a virtual reality multi-modality dataset.
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.
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.

Digital Research Alliance of Canada; University of Waterloo
This is a data management plan example created by the Ecohydrology Research Group at the University of Waterloo. It presents a sample DMP for research work within the field involving laboratory, chemical, biological and numerical data.
Digital Research Alliance of Canada; Cape Breton University

This example data management plan from the Alliance intended to analyze the availability and usage of affordable rental housing. The project requires the collection of various forms of numeric, audio-visual and text-based data collected from a variety of sources such as surveys, focus groups etc.

University of Calgary; Digital Research Alliance of Canada

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

Cégep de Sherbrooke; Digital Research Alliance of Canada

This DMP aims to collect digital, tabular, and graphic data on plastic production parameters, environmental conditions, and inspectional measures among other factors to optimize the industrial extrusion process.

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.

The University of Sheffield; University of Vienna (PHAIDRA)
This DMP was created for the DyVirt project which aims to create an early stage researcher training network that will address the challenge of modeling the performance of engineering structures in dynamic environments. It will consist of the collections of computer-based  simulation models.
FENIX; University of Vienna (PHAIDRA)
This DMP was created for the EnDurCrete project, which aims to develop a new cost-effective and sustainable reinforced concrete. Data to be collected includes CAD drawings, images, audio, textual and numeric data, process info, and test data.
Purdue University
This DMP aims to outline data collection for a project focused on light towers under the Wyoming Department of Transportation. The data collected will include information about climate, wind, strain, temperature, and presence of icing. Photographs and drawings are also collected.
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.

University of Manchester
This DMP aims to collect tissue from failed cartilage surgery. The goal of the project is to identify mechanisms of failure.
National Science Foundation (NSF)
This DMP was created by the NSF as a template for Engineering.
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.

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.

Stanford University; Working Group on NIH DMSP Guidance
This DMP aims to collect patient clinical data in order to develop a guideline to diagnose teens suffering from MSK pain.
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.
UMC Utrecht
This DMP aims to collect patient data and medical records for the efforts of assessing whether patient-specific implants for acetabular fracture surgery result in a more accurate reconstruction.
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 Warwick, NIH
This protocol was created for the VITAL trial which aims to investigate volatile and total intravenous anesthesia for major non-cardiac surgery. The main form of data collected is clinical data, and the management of said data is available in section 5 of the protocol.
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.

Delft University of Technology; LIBER
This data management plan from LIBER aims to develop a plan to manage data for a project that intends to develop methods and technologies for "redesigning the value and supply chain of water and minerals."