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 91 - 120 of 165
Applied Research Associates
This DMP was created for a project about Implementation and Local Calibration of the MEPDG Transfer Functions in Wyoming. The DMP records the collection of observational, and material property data.
ATLANTIS Engineering
This is a DMP for the iQonic project which aims to work towards improved manufacturing processes in the field of optoelectronics.
Wageningen University and Research (WUR)
This DMP was created for the Internet of Food and Farm 2020 project. This DMP aims to deal with the management of Big Data across a whole network. This data includes operational system data, farm field sensor data, farm equipment sensor data, data from wearable animal sensors, and vehicle sensor data.
Delft University of Technology; LIBER
This is a data management plan from LIBER regarding the IPER-MAN project which intends to study sources of noise in aeroacoustics to design and prototype wind tunnel inserts.
Purdue University System; Working Group on NIH DMSP Guidance
This DMP aims to collect data on wastewater pharmaceutical concentration as well as pH, flow rate, solar intensity, and exposure time to better understand the degradation efficiency of these drugs.
INEGI; University of Vienna (PHAIDRA)
This DMP was created for the LAY2FORM project which aims to create a new cost-effective multistage manufacturing platform. The DMP will outline the collection of experimental/ observation-derived data, models, documentation, simulation and structural studies, publications, measurements, software and algorithms, images, and videos.
Concordia University of Edmonton
This DMP aims to collect tweets from twitter, and use machine learning to analyze mental health patterns due to the Covid-19 pandemic.
MaX Consortium
This DMP was designed for the Centres of Excellence for HPC applications. It aims to collect various open-source first principles simulation codes.
MaX Consortium
This DMP was designed for the European Centre of Excellence in materials modeling, simulations and design. It aims to collect code and simulation data.
MELOA Consortium; University of Vienna (PHAIDRA)
This DMP was created for the MELOA project which aims to develop an advanced drifter for use in all water environments. The DMP will outline the collection of data samples from a previously developed drifter called the WAVY.
Mobilise-D Consortium
This DMP aims to collect multi-sensor-lab data, single-sensor data, multi-sensor-home data, patient reported outcomes, semi-structured interviews, GPS annotated data, and legacy data. This data will be used for the Mobilise-D project which will connect digital mobility assessments to clinical outcomes for regulatory and clinical endorsement.
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.
University of Edinburgh
This DMP aims to collect medical record data, questionnaire data, images, genotypic data, and quantitative molecular genetic data. This data will be used in the effort of enhancing molecular pathology cancer epidemiology studies.
National Science Foundation (NSF)
This DMP was created by the NSF as a template for Computer and Information Science and Engineering.
National Science Foundation (NSF)
This DMP was created by the NSF as a template for Engineering.
Neurofibres consortium; University of Vienna (PHAIDRA)
This DMP was created for the Neurofibres project, which works in the area of neurodegenerative bio-electronics. It aims to collect laboratory data, research data, scientific texts, and other documents.
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).
University of British Columbia
This DMP aims to collect Qualtrics survey data in the efforts of examining open data practices amongst engineering researchers at UBC.
Medical College of Wisconsin; Working Group on NIH DMSP Guidance
This DMP aims to collect data in order to assess the challenges associated with the implementation of widespread PrEP injection rollout to combat HIV.
Karolinska Institutet
This DMP aims to collect laboratory measurements, diagnosis and procedural data, information about mortality, and clinical characteristic data of disease. All data will be used in aid of identifying best clinical practices for effective and safe use of medications for Chronic Kidney Disease.
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).
The University of Sheffield; National Health Service (NHS); National Institute for Health Research
This protocol was created for the PRAISE trial, which aims to study pain relief after instrumented spinal surgery. The DMP portions of the protocol are sections 14 and 15, and will outline the management of study records, medical records, and source data.
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.
UMC Utrecht
This DMP aims to collect blood samples and EPD samples, in order to investigate the clinical performance of a liquid biopsy test.
Washington State University; Working Group on NIH DMSP Guidance
This DMP aims to collect data on a drug to determine its pharmokinetic abilities as well as its practicality and feasibility in preventing opioid drug abuse.
University of California, Riverside
This DMP aims to collect both non-digital and digital data. The specific forms of data are hand-written observations, images, videos, nucleotide and protein sequences, genome sequences, genome annotations, metabolic models, metabolomics and transcriptomics data, genetic and phenotypic data, media formulations, and plant growth measurements. This data will be used in the aim to improve the economics, productivity, and sustainability of U.S. agriculture by using metabolic models to accelerate the engineering process of all crops.
UC San Diego; Working Group on NIH DMSP Guidance
This DMP will utilize proteomics, biochemistry, genetics, and microscopic tools to understand the role specific proteins play in polarized cell division.
Technische Universität Wien; Working Group on NIH DMSP Guidance
This DMP will measure the relationship between weather observations and prevalence of influence through analyzing and collecting instrument datasets on weather and influenza occurrences.
Utrecht University
This DMP aims to collect clinical health data from electronic records from approximately 400-500 patients. The relationship between the size of the preoperative radiological tumor and the size of the lumpectomy after surgery will be examined using this data.
Selected examples for McMaster Departments
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