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: Rebeca Gaston Jothyraj (RDM Assistant - 2024), 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

Data Management Plans Overview

Search and Browse Data Management Plans

Displaying 1 - 9 of 9

Analyzing Diversity Efforts in Public Radio Organizations - A comparative approach to performance standards in the workplace

Original Source

Brown University; Qualitative Data Management Plan (DMP) Competition

This is a Data Management Plan reviewing archival data from the National Public Broadcasting Archives, National Public Radio organizational records, and semi-structured interviews with non-white broadcasters and public radio employees in the USA and Australia to analyze diversity efforts in Public Radio Organizations.

Data Management Plans

Original Source

Rice University; Working Group on NIH DMSP Guidance

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.

Language Endangerment and Revitalization at the Dialectal Level: A current analysis of Salasaca Kichwa (ISO 639-3 = qxl)

Original Source

Temple University; Working Group on NIH DMSP Guidance

This DMP aims to collect audio recordings, surveys, and observations to revitalize and endangered language.

Phonological aspects of word learning: Advantages of bilingualism and impacts of developmental language disorder

Original Source

Portland State University; Working Group on NIH DMSP Guidance

This DMP aims to collect linguistic and developmental data to determine how phonological learning and bilingualism impacts development.

Religion and Sexual Violence

Original Source

Princeton University; Working Group on NIH DMSP Guidance

This DMP aims to collect data from support groups for those abused by clergy and semi-structured interviews to better understand the experiences of survivors of sexual assault.

Sample Data Management Plan for Depositing Data with ICPSR

Original Source

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.

Text analysis of Taldash (GAL) in Support of Nuu-wee-ya' Language Revitalization: Indigenous-based linguistic analysis and methodological reflections

Original Source

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.

Using natural language processing to determine predictors of healthy diet and physical activity behavior change in ovarian cancer survivors

Original Source

University of Arizona; Working Group on NIH DMSP Guidance

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.

Why do so few workers take trade adjustment assistance?

Original Source

University of Pennsylvania; Georgetown University; Qualitative Data Management Plan (DMP) Competition

This DMP will collect data from semi-structured interviews to understand the factors that influence one's perception of their deservingness to claim benefits.