We provide a range of online, face-to-face and one-to-one training opportunities, tailored to the needs of University students, researchers and staff.
We also offer bespoke and one-off training events for staff and students at a departmental, team and programme level. For more information please contact your Liaison Librarian or the Research Support Team.
You will find a range of options to help you build on your existing skills including workshops and online material on the Skills Guides.
To view a calendar of our weekly digital skills training events, see:
Copyright protects the economic rights of creators of certain types of original works. Find out more:
Find out how to get hold of the information you need for your research, using a range of online and printed resources.
Academic work needs accurate referencing, and reference management applications help with collecting, organise and citing.
Social media opens up new forms of communication and dissemination, provides a powerful means for researchers to improve visibility, and offers new opportunities to conduct research.
Staff and research postgraduates
The Library delivers its training through the Research Excellence Training programme.
- Staff: Course details and bookings are made through the University of York Learning Management System
- Research Postgraduates: Register for courses through SkillsForge
To see an overview of the workshops and courses planned for each term, see:
Bibliometrics is the quantitative analysis of scholarly publications, intended to provide an indication of their impact on academic and public discourse. In other words, “the statistical analysis of books, articles, or other publications” (OED).
Open Access is about making research outputs freely available online with reduced restrictions on use and reuse. Open Access benefits researchers by helping them maximise the dissemination of their own research. It also means that the published outputs of research are available to anyone who wishes to read them.
Research data mangement
Research data management (RDM) refers to the active curation of data throughout the research lifecycle. All researchers have a responsibility to properly manage the data they create, collect or use during the course of their research. Find out how to practice good data management:
IT Services offer a range of online and face-to-face training on the use of digital tools for learning, teaching, research and administrative process.