From September-December 2025, the UK Reproducibility Network (UKRN) is running a series of training workshops that are open to University of Reading research and professional services staff. For more information and details of how to register, please contact Reading’s UKRN Open Research Coordinator, Evangeline Gowie.
Please note: The registration deadline for all training is Wednesday 17th September 2025.
Project TIER/UKRN Workshop: Teaching Transparent Methods of Empirical Research
This course is a variant on the train-the-trainer model. The training provided in the workshop prepares participants to introduce reproducible methods of quantitative research to students in taught classes and/or supervised research. The course will begin with an exposition of practices that are essential to reproducible research, and then turn to a discussion of pedagogical strategies for incorporating them in quantitative methods instruction. It is aimed at:
- Academics who teach courses in some aspect of data analysis, statistics, or quantitative research methods and/or supervise students conducting research involving analysis of statistical data.
- Other staff who support instructors and/or provide support to students doing statistical analyses.
- Staff with responsibilities for oversight of departmental or program curriculum.
- Option 1 (virtual): Thursday 25 and Friday 26 September 2025
- Option 2 (in person, KCL Waterloo Campus): Wednesday 15 and Thursday 16 October 2025
- Option 3 (virtual): Thursday 11 and Friday 12 December 2025
Implementation of the FAIR Principles
Appropriate management and curation of data is of increasing relevance to the current research landscape and planning for FAIR data from the beginning of a project is crucial, yet the FAIR principles are often conflated with open data and similar practices. Open Research practices and the FAIR principles are interlinked, therefore this training will support you to indicate to others how these two areas are complementary. It would be beneficial for anyone who has an interest in data curation and management at all stages throughout the data life cycle and has a role in supporting others to make their outputs FAIR. You will be shown a representative training session which links OR practices to FAIR outputs and gives an overview as to why the FAIR principles are relevant.
- Tuesday 14 October 2025, 09.00-15.00, Online
Byte-sized RSE
This course is for Research Software Engineers (RSEs), researchers and postgraduates involved in computational research who already possess foundational computational skills and who are now:
- looking for quick refreshers, tips, or wanting to improve the sustainability or quality of their research code and are keen on continuous learning without heavy time investment.
- interested in advancing their skills and learning best practices for software in research.
- seeking digestible content to bridge the gap between research and software and benefiting from short-form RSE tips/tools to improve their research workflows.
- Lesson 1: Code Development & Debugging with IDEs, 11 November, 10:00 -12:00 (time TBC), online
- Lesson 2: Code Style, Quality & Linting, 12 November, 10:00 -12:00 (time TBC), online
- Lesson 3: Intermediate Git, 13 November, 10:00 -12:00 (time TBC), online
- Lesson 4: Code Review, 18 November, 10:00 -12:00 (time TBC), online
- Lesson 5: Unit Testing Code, 19 November, 10:00 -12:00 (time TBC), online
- Lesson 6: Continuous Integration, 20 November, 10:00 -12:00 (time TBC), online
Experimental Design for Open and Reproducible Research: NC3Rs Experimental Design Assistant (EDA)
This course is for researchers, technicians, and all others involved in designing animal experiments and/or reviewing experimental design in colleagues’ or students’ work.
- Thursday 13 November 2025, 10:00 – 16:00, online.
Responsible Research Metrics
This course is for librarians, professional services staff and researchers with an interest in research metrics. Attendees should have a knowledge of the metrics systems used by institutions to measure research outputs, as well as an understanding of the research workflow. Ideally, attendees will have a background in bibliometrics. Attendees will need to create a GitHub account, or have access to an institutional account, therefore it is preferable that attendees are already familiar with the GitHub web GUI.
- Tuesday 18 November 2025, online (time TBC)
Electronic Lab Notebooks: best practice for data/metadata retention
This course is suitable for researchers, technicians, and research managers who want to promote best practice. It requires an in-depth knowledge of the research workflow and required documentation. Experience of supporting others and managing projects would be useful.
- Wednesday 3 December 2025, 09.00-15.00, online