Researchers and students often lack essential tools to carry out reliable computational work in their research or studies. Jakob Sauer Jørgensen, CodeRefinery ambassador from DTU Compute, explains why many are challenged: “Much of our work depends on versioning code and continuously updating data processing. It can quickly become messy if you don't learn good practices and use the right tools. Unfortunately, these tools are rarely taught at universities. What you learn at a CodeRefinery workshop makes your research easier to reuse and reproduce.”
“Collaborative development of code and data analysis is an integral part of many collaborations—for example with other researchers or in the relationship between students and supervisors,” adds Ding He from BRIGHT. Ding has also been an ambassador at several CodeRefinery workshops. “Many people don't know that they can make collaboration more efficient and transparent by correctly using Git and tools for documenting their work.”
CodeRefinery workshop
The CodeRefinery workshop series runs over six days across two weeks as an in-person classroom event and is free to attend. All sessions are also streamed for online participation.
The course language is English.
In-person participation at DTU
DTU Library and the CodeRefinery ambassadors are collaborating on the in-person course at DTU, where helpers will be available.
The Danish Data Science Academy (DDSA) is sponsoring the physical event, and lunch will be provided. Therefore, it is offered to all students and staff at Danish universities.
Read more and register link
You can attend all sessions or only the topics that fit your interests. But remember to register via the link above. PhD students can in some cases earn 1 ECTS credit for full participation.
Read about Certificates and credits link
