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.
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.
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; 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.
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.
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.
Florida PALM Consortium
This DMP was created for the Florida PALM project, which aims to implement a statewide accounting system.
Temple University; Working Group on NIH DMSP Guidance
This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.
Brigham Young University–Hawaii
This DMP was created for the Indigo project which aims to use research and innovation to empower Pacific indigenous communities. The DMP outlines the collection of interview recordings, transcripts, survey responses, and related documents.
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 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 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.
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.
Curtin University
This DMP aims to collect audio data, interviews, transcriptions, and interview notes. This data will be used in the efforts of identifying key principles for creating an effective Indigenous Youth program that will teach core emotional skills.
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.