LJMU Events and Appointments

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

This workshop will help you to understand your funding landscape, locally, nationally and internationally.

This session is for you if you want to: develop a better understanding of your funding options; learn how to search for appropriate sources of funding; reflect on your approach to finding funding and develop more helpful habits.

Everyone is welcome to our third ReproducibiliTea journal club! The idea behind this is to discuss research on open science and reproducibility, irrespective of discipline.

Multi-Site Research Projects: Opportunities, Obstacles, and Outcomes

In this session Greg Keenan , from School of Psychology will talk about , engaging in collaborative projects across multiple sites offers numerous benefits for open and reproducible science. These projects provide greater statistical power, enhance confidence in results, and improve generalisability. This talk will present examples of various types of multi-site collaborations, highlight their advantages while also addressing key considerations when setting up such projects. Common challenges and obstacles will be discussed, along with practical strategies for overcoming them. Additionally, the talk will explore the valuable role that undergraduate and postgraduate dissertation projects can play in contributing to this kind of collaborative work.

If you’d like to present your work in a future session, that would be fantastic! Just let Andy Jones know. If you’re intrigued, feel free to stop by for a cup of tea or coffee, and meet some colleagues.

For most of us, confidence ebbs and flows, sometimes driving us towards our goals, but too often limiting us and getting in the way of what we want. In addition, feeling a lack of confidence can make us unhappy and erode our wellbeing.

This workshop will examine three common and interconnected issues which can undermine confidence: imposter phenomenon; procrastination; perfectionism.

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

This session is designed to provide researchers and PGR's with a practical understanding of how to deposit research data in Liverpool John Moores University's data repository, ensuring compliance with data management policies and enhancing the visibility of your research. During this session, you will learn how to prepare and upload your data to the LJMU data repository, best practices for metadata creation and documentation, how to ensure your data is discoverable and accessible to others and compliance with funder and institutional data management requirements. This session is ideal for researchers, postgraduate students, and academic staff looking to streamline their data deposit process and enhance the impact of their research through open access.

Speakers: Amie Longthorne

In this session we will cover the importance of making research data as open as possible . Metadata supports organising and managing data effectively to facilitate smooth transitions from raw data to meaningful discovery

• Metadata: Proper documentation and availability of metadata are crucial to make data discoverable and reusable by other researchers.
• Ensuring Reproducibility: The importance of detailed metadata in enabling other researchers to replicate studies and verify results
• Improving Data Discoverability: Techniques to use metadata for enhancing the visibility and accessibility of datasets for future research initiatives.