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 Limoges; University of Vienna (PHAIDRA)
This DMP was created for the ATHOR project which aims to develop technologies in material engineering and numerical simulations, for the modeling of refractory linings. Data to be collected includes experimental data, literature reviews, and quantitative model results.
University of Montreal
This DMP aims to collect calculations, simulations, publications, presentations, and experimental design work. The goal of the project is to comprehend and control the quantum dynamics of light-induced excited states in condensed matter.
University of Kansas; Working Group on NIH DMSP Guidance
This DMP aims to collect data to establish a novel mode of interaction between fluids and solids.
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.
Universidad Politécnica de Madrid; Working Group on NIH DMSP Guidance
This DMP looks at light pollution samples acquired by photometers followed by subsequent analysis.
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 Waterloo; Digital Research Alliance of Canada
This DMP aims to collect text, binary (ASCII, binary), images, audio, etc. data to develop advanced research computing frameworks and infrastructure for application in various fields like quantum chemistry, biochemistry, machine learning, and artificial intelligence.
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.
Temple University; Working Group on NIH DMSP Guidance
This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.
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.
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 Science Foundation (NSF)
This DMP was created by the NSF as a template for Materials Research.
University of Arizona; Working Group on NIH DMSP Guidance
This document is an in-depth process Data Management Plan for the OSIRIS-REx project. This outlines generation and validation of mission, spacecraft, instrumentation, calibration, algorithms, software, and other data for an asteroid sample return 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.
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.
Working Group on NIH DMSP Guidance
This DMP will collect different wavelengths of light to analyze star formation regions in the Milky Way.