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Research data management: a practical guide


A practical guide to help you manage your research data well, covering best practice for the successful organisation, storage, documentation, archiving and sharing of research data.

Research data management

Research data management refers to the active curation of research data throughout the research lifecycle.

This is a practical guide to help you manage your research data well, covering best practice for the successful storage, organisation, documentation, archiving and sharing of research data.

This guidance is intended for researchers of all levels, and across all academic disciplines.

Research data lifecycle

The UK Data Services' research data lifecycle illustrates the stages of data management, from the start to the finish of a research project.

Research data management usually includes the following elements:

Planning for the management of research data, addressing any ethical and legal issues and gathering together research data management costs.

Successfully managing and handling research data while you are working with it, how research data is stored, secured, organised, formatted and documented; complying with funder, University, other relevant regulations and legal requirements.

Selecting research data for archiving and sharing, uploading selected research data to an appropriate data repository, deciding whether and on what terms the data will be made available, and selecting an appropriate licence.

planning iconLinking shared research data to associated published outputs, writing a data access statement to include in published outputs and recording shared datasets in PURE / WREO.

Policy, further resources and help

link to the Research Data Management Policy

The University of York recognises the importance of research data management and has a Research Data Management Policy.

The Policy requires that you to manage and handle your research data well, and for staff and postgraduate researchers (doctoral level), to consider archiving and sharing (where possible) research data at the end of your project. You should read it.

Good research data management enables the University and its researchers to meet the standards and responsibilities set out in the University's Code of practice on research integrity and:

  • meet funder, ethical, legal and other responsibilities

  • maintain an accurate, complete, reliable and coherent representation of the materials used/collected

  • store research data securely and safely

  • preserve data which is identifiable, retrievable, and available when needed (and as appropriate)

  • to be able to make research data available to others in line with appropriate ethical, data sharing, FAIR (Findable, Accessible, Interoperable, and Reusable) and open access principles.

link to RDM 101 in the VLE

RDM 101

In addition to this guide we provide RDM 101, an online tutorial designed to provide you with an introduction to research data management.

It's available to staff and postgraduate researchers (doctoral level). Complete it in the VLE

Managing Your Research Data workshop

We run regular workshops for staff and postgraduate researchers (doctoral level) through the training programme coordinated by the BRIC Team.

link to Skillsforge, to book your placelink to the LMS, to book your place

RDM for supervisors

Postgraduate researchers may ask you for advice about data management and writing their data management plan. The Open Research team is here to help you support your PGRs.

RDM services

A number of services are offered to help you navigate the practicalities of managing and sharing your research data. This includes a data management plan review service, creating PURE dataset records for datasets archived in external data repositories and Research Data York, a data repository for research undertaken at the University.

Read more about the services provided on the Managing and sharing your research data web page.

The Open Research team is here to help

If you have any questions, want to know more, or if you want us to talk about RDM with groups of staff/postgraduate researchers in your department, email us:

If your question is more complex, you can book an appointment to get personalised guidance on RDM

link to book an Open Research Online Appointment