Introduction
Reproducibility of quantitative research is essential for robust research findings. But did you ever wonder if your analysis can be re-run by someone else?
This workshop of the CODECHECKing goes NL team will help you ensure that your computational research can be reproduced with your analysis code. Analysis code is the code that you generate when you execute your data processing and analysis steps (for example, in a programming language like R or Python). This code indicates in detail how you processed and analysed your data.
You will learn how to ensure and evaluate the reproducibility of research results, how to improve the reproducibility of your own work, and you will gain hands-on experience in peer-reviewing code. You can participate as a code-checker (i.e., a person reviewing code), or you can have your own work checked (or both if you are up for it!).
Next to this workshop you can attend the Reproducible research through reusable code workshop, which offers much more tools and principles to make your own project reproducible.
Course information
ECTS: 1.5
Number of sessions: 1
Hours per session: 7.5
Key Facts & Figures
- Type
- Course
- Start date
- Thursday 28 Nov 2024
- Instruction language
- English
What will you achieve?
- You will be able to evaluate the level of reproducibility of your own and other researcher’s code.
- You will be able to perform a code-checking workflow.
- You will be able to determine the documentation required for others to be able to run someone’s code.
Start dates
Date: Thursday 28 November, 9.30 – 17.00 hrs
Location: Polak building, room 3-09
Thursday 28 Nov 2024
Instructors
Dr Stephen Eglen is an Official Fellow and Director of Studies in Mathematics (Part II and Part III) at Magdalene. Dr Eglen is a Professor in Computational Neuroscience at the Department of Applied Mathematics and Theoretical Physics. His undergraduate degree was in Cognitive Science, Psychology and Computer Science (Nottingham), followed by a doctorate in Computer Science and Artificial Intellegence (Sussex). His research interests focus on understanding the development of the nervous system: how do neurons form connections with each other into structured networks? He works primarily on analysing and modeling of neuronal activity and development in the visual system. Recent work has applied these techniques to understanding networks derived from human stem cells and for neurotoxicity testing. He is currently director of the MPhil in Computational Biology and would like to encourage all students to learn how to program.
Eduard Klapwijk is a Research Data Steward at the Erasmus School of Social and Behavioural Sciences (ESSB). He advises and supports researchers on how to organise their research data effectively in accordance with international standards and develops and implements research data management guidelines with the aim to make research more open and reproducible. He also has a keen interest in training researchers in data management and reproducible science practices, for which he holds a University Teaching Qualification and a Software Carpentries instructor certification.
Contact
- Enrolment-related questions: enrolment@egsh.eur.nl
- Course-related questions: e.klapwijk@essb.eur.nl
Telephone: +31 (0)10 4082607 (Graduate School).
Facts & Figures
- Tax
- Not applicable
- Start date
- Thursday 28 Nov 2024
- Offered by
- Erasmus Graduate School of Social Sciences and the Humanities
- Course type
- Course
- Instruction language
- English
- External link
- Click here to register