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.
University of Nottingham
This DMP aims to collect quantitative data from 20 participants, of their Jebsen hand function test (JHFT) results. This data will aid in the assessment of hand function while wearing three different flexor tendon repair hand splints.
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.
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.
University of Calgary; Digital Research Alliance of Canada
This is a template DMP for use in systematic review projects in any field.
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 study the positive effects of Everyday Life Rehabilitation (ELR). Data collected includes daily functioning data, goal attainment scaling information, documentation, interviews, and questionnaire information.
University of East Anglia; Working Group on NIH DMSP Guidance
This DMP was curated for the purpose of using MRI, TMS, and case report form data to analyze functional strength training for upper limb recovery after stroke.
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.
Temple University; Working Group on NIH DMSP Guidance
This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.
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.
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.
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.
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.
University of Alabama Birmingham; Working Group on NIH DMSP Guidance
This is an example DMP that aims to collect gene and protein expression data to assess DNA methylation and its impact on cardiac function.
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.
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.
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.
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.
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.