Research data management

What is RDM?

See our introduction to RDM and find out what the University and/or your funder expects.

The University of York recognises the importance of research data management (RDM) in underpinning research excellence and integrity.

These pages outline good practice in managing your research data which, if you adopt, should be beneficial to you, the University, fellow researchers and society.

Good RDM practice in three stages:

image: research data management ‌

Before your project

Consider how you will look after your research data. Plan your data management, by:

checking the University RDM Policy and your funder's requirements

creating a Data Management Plan (DMP)

addressing ethical and legal issues

gathering together RDM costs

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During your project

Manage your live data on a day-to-day basis, by:

updating your DMP

storing your data securely

organising and documenting your data, e.g. by

choosing the right file formats

employing coherent file names/structures

clearly describing your data

abiding by ethical, legal and commercial obligations

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End of your project

To meet University and/or your funder requirements, start sharing, preserving and depositing your data by:

choosing which data to retain and archive

deciding whether the data can be made openly available to all, should be restricted or closed

either depositing your data with a suitable data archive or repository, or depositing data with the University Research Data York service

recording datasets in PURE

including a data access statement in publications

See our Guidance, support and training pages to get help with meeting your research data management responsibilities.

^{Images: La tecnología de big data revolucionará la seguridad de la información by infocux Technologies, used under CC BY-NC 2.0 license / Colour change from original.}