News from DTU Library
Join CodeRefinery at DTU this autumn, 2025
Are you a researcher or student who wants to learn better practices when developing code and managing data? Look no more: DTU Biosustain, DTU Compute and DTU Library offer you the CodeRefinery workshop starting in September.
Researchers or students often lack essential computational tools to support the reliability of their research or studies. Jakob Sauer Jørgensen, a CodeRefinery Ambassador from DTU Compute, explains why we often struggle: “A lot of our work relies on handling versions of code and continuously updating the data processing. It can become a mess if you don’t learn good practice and use the right tools. Sadly, these tools are rarely taught at universities. What you learn in the CodeRefinery workshop makes your research easier to reuse and reproduce.”
“Joint code development and data analysis is an integral part of many collaborations – for example with other researchers or in the student-supervisor relationship”, Ding He seconds. Ding has also hosted a CodeRefinery workshop at DTU Biosustain as an ambassador. “Many people don’t know that they can make collaboration more efficient and transparent with proper use of Git and documentation tools.”
CodeRefinery workshop
The CodeRefinery workshop series consists of three core workshop sessions followed by six shorter focus sessions, where you can get the tools to make full use of software, computing, and data with focus on reusability and reproducibility. All sessions are streamed online and free to join.
In-person sessions at DTU Library
Furthermore, DTU Library has teamed up with the CodeRefinery ambassadors to provide in-person sessions with helpers for DTU students and employees. The classroom sessions will take place at the Library at Lyngby campus.
You can attend all sessions or just the dates and subjects that suit you, but please register via the link above. As a PhD students, you may be able to claim 1 ECTS credits for full attendance.
See 'Certificates and credits'
Workshop sessions
- 3 and 8 September: Installation help
- 9-11 September: Focus on Git and GitHub
- 17 September: Reproducible Research,
- 24 September: Social coding and open software
- 1 October: How to document your research code
- 8 October: Jupyter Notebooks
- 15 October: Automated testing
- 22 October: Modular code development
Read more about the content of each lesson
See the full schedule