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.
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.
University of Nevada, Las Vegas; Working Group on NIH DMSP Guidance
This DMP aims to collect data from structured interviews and secondary data from COVID-19 hospitalizations and social distancing mobilization in Florida county health departments. This will be done in an attempt to understand "the roles and patterns of institutional collaborative mechanisms across scale and functions that are used to overcome collective action dilemmas produced by the COVID-19 pandemic."
Toronto Metropolitan University
This DMP aims to collect press reports, box office records, films, interviews, and MAXQDA files. The goal of the project is to study cultural diversity in film festivals.
Natural Justice; Working Group on NIH DMSP Guidance
This DMP aims to collect data on Indigenous experiences with climate change and the licensing behind data produced by these communities.
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.
Digital Research Alliance of Canada; Western University, Queen's University
This is an example data management plan from the Alliance which aims to create a database of digital products from the Canadian Census of Population. The database includes text base data collected from Statistics Canada.
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.
Canadian Research Data Centre Network; Digital Research Alliance of Canada
This is a template DMP for researchers conducting statistics based research for Statistics Canada.
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 Ottawa; CAU Kiel University; Digital Research Alliance of Canada
This is a template DMP for mixed social sciences research projects that adopt an open scholarship workflow and produce both qualitative and quantitative datasets.
University of Saskatchewan; Digital Research Alliance of Canada
This is a template DMP for qualitative research projects in the health sciences conducted on human participants.
Canadian Research Data Centre Network; Digital Research Alliance of Canada
This is a template DMP for researchers conducting statistics based research for Statistics Canada for use in external analyses and applications.
University of Calgary; Digital Research Alliance of Canada
This is a template DMP for use in systematic review projects in any field.
Amsterdam University of Applied Sciences.; Working Group on NIH DMSP Guidance
This DMP aims to collect clinical and demographic data to better understand the association between balance deficits and urinary tract infections as well as low back pain.
The University of Texas at Dallas; Working Group on NIH DMSP Guidance
This DMP aims to collect data in order to better understand neocolonialism in the context of "unethical policies, practices, and systemic violence in early 21st Century International Development."
Johns Hopkins University; Working Group on NIH DMSP Guidance
This DMP aims to collect and create a public dataset of over 4000 MRI and CT scans of patients with various brain illnesses including but not limited to acute stroke and manual lesions.
University of Nottingham
This DMP aims to collect survey data that will be used to provide the information needed to further inform and address food insecurity in Nottinghamshire.
National Institutes of Health (NIH); National Institute of Child Health and Human Development (NICHD)
This is an example of a data management plan from the NIH, intended to collect data from a phase 3 RCT on preeclampsia.
Working Group on NIH DMSP Guidance
This DMP will use information from police incident and investigation reports from 5 different jurisdictions in America to investigate the impact 25 specific demographic factors have on how a case is sentenced or whether it is charged.
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.
High Point University; Western Washington University; Working Group on NIH DMSP Guidance
This is a DMP for conducting ethnographic research in order to ascertain the impact of novel urban policies in Nicaragua.
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 Massachusetts Amherst; Working Group on NIH DMSP Guidance
This DMP aims to collect data to answer the following research question: "Why did the United States and Germany extend the franchise to racialized minorities respectively in the 1960s and 1990s whereas Austria persisted their disenfranchising citizenship policy?"
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 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.
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.
Fondation Jean-Jacques Laffont and Copenhagen Business School (CBS)
This DMP was created for the DeNazDB project, which studies what factors led to the German support of the Nazi’s. The data to be collected includes individual-level longitudinal data from the denazification questionnaires from 1945 and 1949.
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.