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 121 - 136 of 136
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.
DMP for conducting a plant-based genomics research working with both observational and experimental data collected in lab as well as bioinformatic databases generated by computer models.
This DMP aims to collect data from students and teachers to evaluate the effectiveness of various assessment instruments.
This DMP aims to collect data on geophysical, pedological, and hydrological data to characterize "water storage and flow path behavior in the subsurface environments of two headwater catchments in the Appalachian Mountains (Western Carolina Hydrologic Research Station) and Piedmont (Duke Forest Research Watershed).
This is a data management plan from UC San Diego which details a strategy to collect and analyze raw data.
This DMP collects data from interviews to better understand the "approaches and challenges associated with teaching data …" particularly quantitative data in the social sciences to undergraduate students.
This DMP aims to digitize data and create a database of semantics, lexicon, and morphemes to preserve the Nuu-wee-ya' language.
This is a data management plan for an NSF proposal to produce web-collected data, survey data, interview data, and coded legal texts which will be shared in the Qualitative Data Repository (QDR) at the Syracuse University.
This is a data management plan from UC San Diego which discusses the collection and analysis of data on plant ecosystems to study the response to a change in rainfall patterns.
The aim of this DMP is to record and analyze the dialect of Mayan speaker in Mexico in order to preserve the language and analyze any difference between Mexican Mayan speakers and Guatemalan Mayan speakers.
This DMP aims to collect data on HBCU Students in order to inform the development of the Astronomy and Physics programs . The aim of the project was specifically finding, adopting, and implementing strategies that would increase recruitment, retention, and success.
This DMP aims to collect data from experiments "using a unique imaging system to probe how a polymeric jet injected into a surrounding Newtonian fluid becomes unstable".
This DMP details how an unmanned glider will collect data on sound-making species and oceanic variables to ascertain which areas should be protected fishing areas and avoided for the development of wave and wind energy.
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.
This DMP gathers semi-structured interviews, oral histories, focus groups, and Social Network Analysis (SNA) to investigate democratization of water pollution governance within the rural communities and urban centres around Lake Titicaca in Puno, Peru.
This DMP will collect data from semi-structured interviews to understand the factors that influence one's perception of their deservingness to claim benefits.