Training for research students and staff
Explore our training resources, which are delivered through a number of different routes including Microsoft Teams and Moodle.
Upcoming sessions
- Date
- 26/01/2026 (10:00-12:00)
- Location:
- George Green Library A13 - University Park
- Date
- 04/02/2026 (10:00-11:00)
- Location:
- Microsoft Teams
- Date
- 07/05/2026 (10:00-12:00)
- Location:
- George Green Library A13 - University Park
Browse by topic below for all upcoming sessions
Explore sessions by topic
Select a session below to find out more, including how to register.
SciVal is an Elsevier-owned research analytics tool which provides data at the level of individual publications, groups of publications, individual researchers, groups of researchers and institutions. This course covers the data which can be viewed and analysed via SciVal, including research volume, citation metrics and policy mentions.
Participants will learn how to access SciVal, navigate its modules and understand their own publication data that is available via the tool.
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View the course materials
Open Access for Researchers
Ensuring your research outputs are available open access (OA) enables them to reach a broader audience, increasing the impact of your research and potentially boosting numbers of citations.
This course introduces open access, considers the options available to make outputs OA and explores how to access OA publications.
The course also touches on: the implications of licensing; funder expectations; copyright; and the impact of Plan S, which requires outputs to be made openly available immediately on publication.
This course is run by the Libraries Research Support Team.
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This course will introduce you to the key issues, requirements, and strategies associated with research data management, and teach you how to manage your data throughout the research data life-cycle by helping you to write a data management plan (DMP).
You can self enrol on the course via Moodle.
Research Data Management on Moodle
Researcher Information Skills
To provide an overview of advanced search techniques and specialist information resources to improve literature searching activities in your research area.
This is an online course and there are Faculty specific sessions.
Managing Your Online Researcher Profile
Searching for Evidence for a Systematic Review (online resource)
Developed by the Libraries' Learning Development team, this online interactive resource guides you through the process of undertaking a systematic review.
It covers all stages of the review: from defining your research question to extracting the data from the selected studies.
This Xerte toolkit is available to University of Nottingham students and staff and forms part of the 'On Course for your Masters' NOOC (Unit 4.3).
Searching for Evidence for a Systematic Review (Xerte)
The Library offers an 'Introduction to EndNote' course for early career researchers.
There are also online videos and guides available which cover how to:
- install EndNote Desktop
- register for EndNote online
- import files from databases to create a library of references and to automatically build a bibliography/reference list in Word
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Using EndNote
Systematic Reviews: Searching for Evidence
A systematic review is a rigorous process of searching, critically appraising and synthesising evidence in relation to a specific research question.
This in-person course is delivered by the Libraries Research Support Team and covers searching the literature for evidence, ensuring the methodology used is comprehensive, transparent and reproducible.
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Many researchers know of ORCID iD as a unique identifier, but your ORCID page can also act as a profile tool to maximise the discoverability of your research and professional online presence.
This online session, run by the Libraries Research Support Team, will cover how to make the most of ORCID to manage your information and choose how to present yourself. It will also address how to connect your ORCID profiles to other systems to save you time in the long term.
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View the course materials
Systematic Reviews: Grey Literature, AI and Workflow Tools
This online session explores how to search different types of grey literature effectively and explains the importance of citation searching.
It also covers the pros and cons of using generative AI tools and provides an overview of the tools that can be used during the systematic review workflow.
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Research Metrics: What they are, why they matter and how to use them responsibly
You’ve probably heard of the H-index, JIF or Altmetric Attention Score – but what do those numbers really mean? Can they be trusted? How can they be used? This session introduces research metrics, including citation-based indicators and alternative metrics such as counts of policy and social media mentions. It will enable you to evaluate the strengths and weaknesses of metrics and understand their implications. The training will be informed by the University of Nottingham Guiding Principles for Use of Metrics in Research Assessment so attendees will be confident they can follow university policy and best practice.
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View course materials and recording
SciVal: Benchmarking and Collaboration
Would you like to better understand whtat research output data is available on SciVal?
Using SciVal Benchmarking allows you to compare the research performance of an entity (researcher(s), institution(s), countries etc.) of interest to others. The Collaboration module is useful to identify which institutions are collaborating, this information can be used to scope new potential partnerships on a subject-specific scale.
Support on this is available on request from the Research Intelligence service. Book a consultation using the link below
Book a consultation
Research Impact: Tools to help you find impact data
This online session will introduce the concept of research impact, initially covering what it is and what forms it can take. Session attendees will be presented with some research impact case studies and then introduced to various platforms which contain research impact data and offer tips on how to interpret the data held. Lastly, we will look at how research impact data can be measured at both a researcher and institutional level.
Book in-person training via Central Short Courses