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

AKRO/SF: Blend System

Original Source

Alaska Regional Office (AKRO); NOA Fisheries

This DMP was created for the Blend System, which aims to provide a comprehensive accounting of groundfish catch. The project collects digital numeric data, imagery, photographs, video, audio, database, and tabular data.

Data Management Plan For California’s Statewide MPA Monitoring Program

Original Source

California Ocean Science Trust

This DMP was created for California’s Statewide MPA Monitoring Program, collecting four levels of data. Data types include ecological data, fisheries landings data, environmental data, field and measurements.

Data Management Plan for Usage of Academic Profile Websites

Original Source

Digital Research Alliance of Canada; University of Saskatchewan

This DMP describes a plan for a study to collect data from academic profile websites--Google Scholar, Citations, ResearchGate, Academia.edu, and ORCID--to understand the presence of librarian researchers on those platforms. Data collected for analysis includes textual and numerical data across different platforms and translated in to SPSS for analysis.

Data Management Plan to Optimize an Industrial Extrusion Process

Original Source

Cégep de Sherbrooke; Digital Research Alliance of Canada

This DMP aims to collect digital, tabular, and graphic data on plastic production parameters, environmental conditions, and inspectional measures among other factors to optimize the industrial extrusion process.

Importing Gothic technology in a Byzantine territory: the cross vaults of Saint Sophia in Frankish Andravida, Greece

Original Source

University of Edinburgh

This DMP aims to collect point cloud data from a 3D scanner, videos, photos, and survey data. The project aims to use this data to study the architectural and construction technology aspects of a 13th-century church called St Sophia in Andravida, Peloponnese.

InterFlex Data Management Plan

Original Source

Enedis

This DMP was created for the InterFlex project, which aims to look at ways to adapt and modernize the electric distribution system. The DMP will outline the collection of documents, financial data, facility data, network data, and customer data.

Project ERC COG HornEast

Original Source

University of Aix-Marseille

This DMP was created for the ERC HornEast project, which aims to study the regional environment and mobility of men and women in the Horn of Africa. The DMP will outline the collection of texts, photographs, videos, maps, notebooks, presentations, spreadsheets, GIS, and archaeological documents.

Tracing the building culture of Frankish Morea

Original Source

University of Edinburgh

TrIAS Data Management Plan

Original Source

Botanic Garden Meise; Research Institute for Nature and Forest

This DMP was created for the TrIAS Project, which aims to formulate better predictions of the risks posed by alien invasive species in Belgium. It aims to collect observational data, checklists, climate data, assessment data, and code.