Alaska Regional Office (AKRO); NOA Fisheries
This DMP was created for the Catch Accounting System, which aims to create total catch estimates for the groundfish fisheries. This DMP outlines the collection of digital numeric data, imagery, photographs, video, audio, database, and tabular data.
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.
University of Cape Town (SA); Working Group on NIH DMSP Guidance
This DMP will collect and make publicly available tobacco related data in certain African countries to increase research in this field such that a continent-wide approach to tobacco control can be developed.
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 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.
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 Cambridge; University of Vienna (PHAIDRA)
This DMP was created for the DIGIWHIST project which aims to systematically evaluate information on public procurement in 35 jurisdictions across Europe. Data collected includes procurement data, and public sector data.
University of Leeds; Digital Curation Centre (DCC)
Includes two example DMPs from the University of Leeds covering research involving the collection of primary data by use of interviews and focus groups.
RTI International
This DMP aims to collect geographic data, survey data, statistics, microdata, and code.
TRACK Consortium
This DMP was created for the TRACK project, which aims to benchmark and identify energy efficiency opportunities for buildings. The DMP will outline the collection of publication data, datasets, technology data, data models, pictures, videos, audio, interview data, and building data.
Bangor University
This DMP aims to collect demographic data, numeric data, and raw and standardized score measurements. This data will aid with investigating the combined effectiveness of language and literacy interventions on reading outcomes in primary school children.
Florida PALM Consortium
This DMP was created for the Florida PALM project, which aims to implement a statewide accounting system.
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.
UC San Diego; Working Group on NIH DMSP Guidance
This is a data management plan from UC San Diego which details a strategy to collect and analyze data for application in the decision and risk management sciences.
University of Edinburgh
This DMP aims to collect technical documents, and interview data from modeling entrepreneurs, and bank workers. This data will be used in the effort of investigating how machine learning is being integrated into finance.