Library Subject Guides
If you have any questions, want to know more, or if you want us to talk about specific aspects of RDM with groups of staff and postgraduate researchers in your department, email the Open Research team.
If your question is more complex, you can book an appointment to get personalised guidance on RDM.
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 and shared 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.
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).
The Open Research team offer regular sessions for postgraduate researchers and staff through the York Researcher Development Programme coordinated by the Research Culture & Researcher Development team.
To book a session go to: SkillsForge - Postgraduate Researchers or LMS - Staff (login required).
Join our Network and connect with other colleagues engaged in data stewardship across the University.
If you spend some of your time (or a significant amount of your time) managing the project's research data or you are the ‘data person’ in your research group, team, department or service - you are a 'data steward’.
Find out more, and sign up, on the Research Data Stewardship Network web page.
This practical guide pulls together a range of data resources andi ncludes guidance on cleaning data, data analysis, data visualisation and ways to better communicate your data with others.
It's provided by the digital skills team who are also responsible for user education in the application of digital technologies.
MANTRA is a free online RDM course created by the University of Edinburgh.
It includes data handling tutorials, where you can use the open datasets with the exercises provided to practice data handling in Python 3, R, SPSS 29 and ArcGIS Pro 3.3/3.4.
This RDMbites collection includes videos on EDIJ and decolonisation in data management. Although aimed at researchers working in the life sciences, the principles discussed in the videos will be of interest to those working in other research fields.
This collection is part of a broader set of resources provided by ELIXIR, Europe's distributed infrastructure for life science information.
University guidance: The research integrity and ethics web pages and the codes of practice set out the University’s framework for high quality and robust practice across the full research process.
