Research Data Management

 

Research data management (RDM) along with the FAIR principles of Findability, Accessibility, Interoperability and Reusability, allows for the verification, reproducibility and digital preservation of findings; fundamental to high quality research outputs and research integrity.

MTU (2025). Research Integrity Policy.

 

What is Research Data Management?

it's the management of your research data, throughout the research cycle including it's collection, organisation, analysis, sharing and preservation. 

 

Benefits 

Compliance & Openness

Effective RDM helps you meet the growing requirements and mandates from funders, institutions, journals, publishers, and scientific organisations for research data sharing.

Research Integrity & Reproducibility

A research data management plan ensures your data is well-documented and understandable, strengthening transparency, trust, and validation in your work.  

Efficiency & Preservation

Organized and secure storage prevents data loss and allows you to adhere to ethical and legal obligations to protect personal and otherwise confidential data.

Visibility & Impact

Well-managed and correctly shared data increases the visibility of your research, attracts citations, and facilitates opportunities for collaboration and recognition.

 

MTU Library RDM Supports

Managing your research data doesn’t have to be overwhelming — and it pays off immediately.

A Data Management Plan (DMP) allows you to describe your data use throughout the research cycle. It is a “living” document, that can be updated as plans for your data and your research project progress.

Tools such as DMP Online can help you create a DMP in a format that may be required by your funder, research authorising body or supervisors.

Contact the Research Data Management Librarian: therese.ahern@mtu.ie to develop or review your Research Data Management Plan.

 

For more in-depth information on the fundamentals of open science and open research, please visit MTU’s Open Education Resource (OER), “Foundations of Open Science” on Canvas.

;