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Research Data Management: Overview

Check out our short guide:


RDM Principles explained in 6 steps


In these pages you will find advice on:

  • Funder requirements and research data policies
  • Data Management Plans
  • Storing research data during your project
  • Archiving and sharing research data


Research data management (RDM)

is an integral part of good research practice that allows reliable verification of results, protects the intellectual and financial investment made in its creation, enables it to be shared and prompts new and innovative research

University of Plymouth Research Data Policy

Funder Requirements

RDM Guide 1:

Research Data Planning (DMP)

RDM Guide 2:

Research Data Storage

RDM Guide 3:

Research Data Deposit


Jisc RDSS Project

Jisc logoHelp us to build a data repository to publish and share your data openly

Plymouth is part of a JISC project to build a shared repository enabling researchers to easily deposit data for publication, discovery, safe storage, long term archiving and preservation.  Being part of this project means we will be able to provide sustainable access to research data so it can be discovered and re-used.

Plymouth’s research repository, PEARL, is not equipped to store and preserve large amounts of data.  The JISC project will deliver a hosted repository enabling the deposit and long term preservation of research datasets for global discovery. 

Help us to define the requirements of this new, national repository to ensure that what is built suits Plymouth researchers’ needs across all disciplines.  You can help us to do this by responding to surveys and taking part in focus groups as well as testing prototypes.  Your involvement will help the University understand the activity that takes place around research data management: like the type and volumes of data being collected, or the systems and file formats being used.  This will help PU better plan and resource services and infrastructure, and develop practical advice and guidance for researchers.

Contact with any queries or suggestions.

Open data that is well managed can contribute to the impact of your research alongside other research outputs and can be cited resulting in attribution, validation and credit for authors.
Funders increasingly require authors to publish open access - not just the final papers, but the underlying data too in support of research integrity, efficiencies and enabling reproducibility.

Further reading: 
Piwowar HA, Vision TJ. (2013) ‘Data reuse and the open data citation advantage’, PeerJ, 1:e175

Examples of data journals: Scientific DataJournal of Open Humanities DataGeoscience Data JournalData in BriefBiodiversity Data Journal