This three-hour academic writing workshop is geared towards any postgraduate researcher who is actively engaged in writing at any stage of their studies. The key aim of the workshop is to discuss and pilot ways of bringing greater creativity and reflexivity into your writing. There will be opportunities to explore different ideas and to share experiences of academic writing, as well as engage in writing activities.

By the end of the workshop, you will:

• have ideas of how to stimulate creativity
• have a better understanding of your relationship with writing
• leave re-energised to approach your writing in new ways, whether in terms of process, style or content.

RDF categories: 2.6 Creativity and innovation; 4.1 Communication; 1.7 Reflexive.

Target audience: Postgraduate researchers at all stages.

Facilitators: Dr Emily Danvers is an Associate Professor/Senior Lecturer in the Department of Education and Course Leader of the PGCert in Higher Education.

This introductory workshop will clarify the differences between preregistration and Registered Reports, provide practical advice on using preregistration tools and explore effective implementation strategies. In addition, it provides a chance to meet with others who share the same commitment to fostering open research practices.

By the end of the workshop, you will be able to:

• explain the differences between preregistration and Registered Reports and describe their benefits and limitations
• find preregistration templates
• identify journals that accept Registered Reports
• locate sources of support and guidance.

RDF categories: 3.4 Open research; 4.1 Communication.

Target audience: Postgraduate researchers at all stages, early career researchers and academics.

Facilitators: The Library Research Support team support researchers at all levels across the University.

This workshop introduces practical tools and techniques for discovering newly published literature in your field, including database alerts, academic networks, and publisher notifications. You will learn how to integrate literature tracking into your research workflow and identify sources of support.

By the end of the workshop, you will be able to:

• identify key tools and platforms for discovering newly published literature
• set up personalised alerts and notifications to monitor new publications in your research area
• evaluate the relevance and reliability of sources when reviewing new literature.

RDF categories: 2.3 Information and data literacy; 2.4 Digital and technological capabilities.

Target audience: Postgraduate researchers at all stages, early career researchers and academics.

Facilitators: The Library Research Support team support researchers at all levels across the University.

Many journals now ask for research data to be made openly available to support publications.

This session will explore options to help researchers to do this effectively, including:

• identifying suitable repositories to share your data
• what to consider when describing your data
• how and when to use Sussex Figshare to generate a DOI for your data prior to publication
• how to use Sussex Figshare to make data privately available to peer reviewers
• tips for writing a data statement for your publication to meet funder requirements.

RDF categories: 4.2 Research outputs; 2.3 Information and data literacy.

Target audience: Postgraduate researchers at the late stage, early career researchers and academics.

Facilitators: The Library Research Support team support researchers at all levels across the University.

This workshop covers how to structure an original research paper, designing and planning your article, how to articulate your argument, what to highlight, good practice and what to avoid. The session will cover language, style and tone, using selected examples from the existing literature.

After this workshop participants will have:

• an understanding of what is expected of them regarding writing style and structure
• analysed and discussed examples of clear, concise scientific writing
• been given a range of resources to explore in their own time.

RDF categories: 4.1 Communication; 4.2 Research outputs.

Target audience: Postgraduate researchers at all stages and early career researchers.

Facilitators: This workshop is designed and delivered by Dr Joanna Young from the Scientific Editing Company.

This two-part Canvas course aims to introduce you to carrying out statistical analysis using R. It assumes that you will have no prior familiarity with R, but that you have completed a course in statistics that includes topics such as multiple regression and multivariate analysis of variance.

By the end of the course, you will:

• be able to run analyses in R, including the use of R Studio and Deducer
• understand objects and functions and be able to write simple functions
• be able to enter, save and manage data files
• carry out statistical analysis, including multiple regression, logistic regression, and linear mixed models.

RDF categories: 2.2 Research methods; 2.4 Digital and technological capabilities

Target audience: Postgraduate researchers at all stages and early career researchers.

This two-part Canvas course builds on the Introduction to R course and is designed for students who already have some familiarity with R, having completed Introduction to R or an equivalent introduction to the tidyverse.

The course further develops skills in data analysis and visualisation, with the first part focusing on advanced use of ggplot2, including comparing groups and customising charts using scales and themes. The second part introduces R Markdown as a framework for producing reproducible reports and documents, while also exploring more advanced data manipulation techniques, including data restructuring and joining datasets.

RDF categories: 2.2 Research methods; 2.4 Digital and technological capabilities.

Target audience: Postgraduate researchers at all stages and early career researchers.

This two-part Canvas course is ideal for researchers with no previous experience of using SPSS and covers the basics to get you started. This is a hands-on session focusing on how to use the SPSS programme. A basic knowledge of statistical concepts and terms is required and participants are expected to attend both parts of the course.

Working through a number of practical exercises, you will learn some of the key functions of SPSS, from data entry and creating basic output, to plotting figures and running more advanced statistical analyses.

By the end of the module, you will:

• enter data, plot figures and create some basic output such as descriptive statistics
• run t-tests, correlations and simple linear regressions
• run factorial ANOVA's
• use the split file and filter functions
• run a multiple regression
• examine outliers, normality and transform data.

RDF categories: 2.2 Research methods; 2.4 Digital and technological capabilities.

Target audience: Postgraduate researchers at all stages and early career researchers.