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 61 - 81 of 81
This sample data management plan from the NIH, intended for submission to the NHGRI, presents a proposal to collect and analyze genomic data from human samples.
This is an example of a data management plan from the NIH, intended for submission to the NICHD, that details a plan to collect and deidentify clinical, laboratory and genomic data from 1000 participants.
This is a sample data management plan from the NIH, intended for submission to the NICHD, that describes a plan to create and preserve biological data from different types of fish embryos.
This is an example of a data management plan from the NIH, intended to collect genomic data and subsequent phenotype data from cancerous mice models.
This data management plan from the NIH, intended for submission to the NICHD, details a plan to collect and preserve interview data and time diaries from children and their caregivers.
This is an example of a data management plan from the NIH, intended to collect clinical, demographic, and dialysis data from research participants.
"This project will perform secondary data analysis on kidney magnetic resonance imaging (MRI) data to determine the parenchymal kidney volume."
This is an example of a data management plan from the NIH, intended to collect anthropologic and public policy data from surveys and interviews.
This is an example of a data management plan from the NIH, intended to collect data from a phase 3 RCT on preeclampsia.
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 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 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 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.
This data management plan aims to extend an existing study on the same topic by creating new data from surveys. This DMP also deals with sensitive identifiable data and anonymization practices.