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.
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.
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; Université de Montréal
This is an example data management plan from the Alliance which describes a fictional research project which involves the collection of soundscapes from monasteries. The fictional researcher intends to collect audio data (WAV files) in order to facilitate analysis.
University of Calgary; Digital Research Alliance of Canada
This is a template DMP for use in systematic review projects in any field.
Uppsala University
This DMP aims to collect semi-structured interview data, participatory observations, media articles, printed materials, and activist documentations. This allows for the examination of how Japan's Shrine Shinto institutions have reacted to the secularism clauses in the country's postwar constitution.
University of Bristol; Digital Curation Centre (DCC)
This data management plan from the Department of Religion and Theology at the University of Bristol aims to create a series of mini-documentaries, a 30m documentary and a photo exhibition on Buddhist Cosmology.
Temple University; Working Group on NIH DMSP Guidance
This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.
University of Bristol
This DMP was created for the ALSPAC study, which is a multi-generation, geographically based cohort study of 14,541 pregnant mothers and their partners, offspring, and children from 1990-1992. This study data was used in a project about parental religious behavior and beliefs.
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.
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.
Princeton University; Working Group on NIH DMSP Guidance
This DMP aims to collect data from support groups for those abused by clergy and semi-structured interviews to better understand the experiences of survivors of sexual assault.
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.
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.