Data Management Plan Database
A Data Management Plan (DMP) describes how you will manage, store, secure, document, and share research data. DMPs can vary broadly across disciplines, methodologies, and data types. DMPs are a growing requirement for grants, and can also guide data practices for individuals and teams. DMP Assistant is a free webtool that guides you through drafting your DMP and the easiest way to start building a DMP.
Our database gathers examples from across the world including DMPs from the Digital Research Alliance of Canada, National Institutes of Health (NIH), Qualitative DMP Competition, DataOne, Digital Curation Centre, Liber, the Working Group on NIH DMSP Guidance, and UC San Diego Research Data Curation into one searchable, open-access platform.
Download the amalgamated dataset: https://doi.org/10.5683/SP3/SDITUG
Project Team: Shrey Acharya (RDM Assistant - 2023), Sarthak Behal (RDM Assistant 2022-23), Danica Evering and Isaac Pratt (RDM Specialists), Debbie Lawlor (Developer).
Data Management Plan Database
Search and Browse Data Management Plans
Displaying 1 - 30 of 50
This DMP outlines the data management process of a human study evaluating the use of a novel drug, Ozurdex on treating Diabetic Macular Edema.
This is an annotated DMP template for a Arts and Humanities Research Council (AHRC)grant containing guidance text produced by the Digital Curation Centre (DCC), the Arts and Humanities Research Council (AHRC), and the University of Sheffield Library.
This DMP aims to collect samples from the field to better understand biogenic carbonates through investigating microbes and minerals.
This is a data management plan from UC San Diego which details a plan for the CARE platform, which will create a software tool to access various datasets from selected sources.
This DMP will collect electrophysiological, histological, and head position data from rats to investigate the firing rate of neurons among other analyses to answer the research question.
DMP for conducting computational neuroscience research to determine brain function.
This DMP outlines a plan for documenting, managing, and sharing code and (re-)interpretation of secondary data pertaining to protein localization and proteomics.
This fictional data management plan focuses on caring for mixed methods research through survey data, interviews, and focus groups. For the purposes of training, this DMP assumes data collected by the study will not be sensitive, and that participants have consented for their de-identified information to be deposited into a data repository in support of preservation and open research.
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.
This is a DMP template for researchers at Leiden University, The Netherlands. It has a checkbox format instead of a paragraph format which could be useful for certain researchers.
This is a set of sample DMPs produced by the Rice Research Data Management Team containing a preamble explaining recommended content and two Sample DMPs for Biosciences and Social and Behavioral Sciences.
This is a data management plan that will collect patient and population-level data in order to determine the effectiveness of a new drug, rizatriptan on treating acute migraines at their onset or in a later phase.
This DMP highlights how a Digital Curation Innovation Center will manage its data.
This DMP outlines the steps that will be taken when digitizing herbarium samples include images of herbarium specimens, specimen data, georeferenced data, programming, and more.
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.
This DMP will collect data from surveys that high school students in King County Schools fill out in order to understand drug use among this population.
This DMP will collect patient data (biometrics, demographics, surveys, & health utilization information) to ascertain the impact of RN-led care management.
This outlines best practices to include when writing DMPs. It shares examples of good language included in DMPs to highlight the importance of specificity in describing privacy and licensing, procedures, roles and responsibilities, data sharing, metadata, citation, and long-term archiving. It also gives examples of bad language in DMPs to demonstrate poor data management strategies.
This DMP will collect data to "reduce the risk of hazard material transportation, reduce crashes, improve emergency response times for unexpected events, and increase the overall safety of system workers and users."
This large-scale project aims to generate an integrated model of primary healthcare for refugee clients in Australia. Their DMP is an excellent example of an in-depth process-based DMP that outlines governance; organization, documentation, and storage for all data types; and sharing and access (including how requests should be made).
This DMP will utilize proteomics, biochemistry, genetics, and microscopic tools to understand the role specific proteins play in polarized cell division.
This DMP will measure the relationship between weather observations and prevalence of influence through analyzing and collecting instrument datasets on weather and influenza occurrences.