Reproducibility and open scientific practices are increasingly demanded of scientists and researchers. Training on how to apply these practices in data analysis has not kept up with demand. With this course, we hope to begin meeting that demand.
By the end of the course, participants will have a basic level of proficiency in using the R statistical computing language, enabling them to improve their data and code literacy, and to conduct a modern and reproducible data analysis. The course will place particular emphasis on research in diabetes and metabolism; it will be taught by instructors working in this field and it will use relevant examples where possible.
The course, found at the website https://r-cubed-intro.rostools.org/, is designed as a series of participatory live-coding lessons, where the instructor and learner code together, along with hands-on exercises interspersed throughout the course and a final group assignment to do a simple data analysis project. In the course we will:
We’ll be addressing the following questions:
To participate in the course, you will have to be a PhD Student or Postdoc working in the fields of diabetes, metabolism or classical endocrinology. Priority is given to participants employed at Danish research and health institutions or in the life science industry.
To help manage expectations and develop the material for this course, we make a few assumptions about who you are as a participant in the course:
While we have these assumptions to help focus the content of the course, if you have an interest in learning R but don’t fit any of the above assumptions, you are still welcome to attend the course! We welcome everyone, that is until the course capacity is reached.
In addition to the assumptions, we also have a fairly focused scope for teaching and expectations for learning. So this may also help you decide if this course is for you.
Please note, that you are not guaranteed a seat if you do not meet the target group requirements. If the event is overbooked, the DDEA reserves its right to reject participants based on the defined requirements and country of employment.
To attend the course, you will have to complete the pre-course tasks no later than 14 January 2024.
You find the pre-course tasks here: https://r-cubed-intro.rostools.org/preamble/pre-course.html
Bring your own laptop
Make sure to bring your own laptop, since the course includes hands-on learning.
The DDEA organizes a networking dinner on 23 and 24 January. Participation in the dinner is free of charge. Please sign up for the dinners upon registration, and indicate whether you have any dietary requirements.
Accommodation 22 January
The DDEA offers accommodation for participants living outside the Copenhagen area 22 January. Please state, if you need accomodation on 22 January when you register.
Accommodation 23-25 January
The DDEA offers accommodation for participants living outside the Copenhagen area 23-25 January. Please state, if you need accomodation on 23-25 January when you register.
A course certificate will be sent to all participants upon request at the end of the course. Full participation is required to attain ECTS points. Number of ECTS points will be announced later.
Latest cancellation date & no-show fee
Please note that it is free of charge to participate in the event however the DDEA will charge a no-show fee of 1000 DKK if you do not show up and have not unregistered from the event by 16 January 2024, except in the case of illness or emergencies.