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

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Displaying 1 - 3 of 3

Examining the combined effectiveness of early language and later reading intervention in primary aged children

Original Source

Bangor University

This DMP aims to collect demographic data, numeric data, and raw and standardized score measurements. This data will aid with investigating the combined effectiveness of language and literacy interventions on reading outcomes in primary school children.

Exploring Queer Teachers’ Professional Identity Through LGBTQ+ Inclusivity in the ESOL Classroom

Original Source

Durham University

This DMP aims to take a qualitative approach through the use of research interviews and solicited diaries. The data mentioned above will be used to investigate the manner in which LGBTQ language instructors navigate across the highly complex environment of Vietnamese language education.

Generative AI and Assessment: Design Principles for the Future of Teaching and Learning in Higher Education

Original Source

McMaster University

This DMP aims to collect survey data, assessment data, interview data, audio recordings, transcriptions, document drafts, and data tables. This data will be used to create a set of design principles to empower university-level instructors to either incorporate generative AI tool use in assessments or to limit the impact of generative AI on the integrity of assessments.