This lesson is targeted at a broad audience of researchers who want to learn how to be more efficient and effective in their data analysis and computing, whatever their career stage. Examples of our target audience are found in learner profiles.

The lesson is inspired by and based on the paper, Good Enough Practices in Scientific Computing (Wilson et al., 2017): “a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill”.

These practices, which encompass data management, programming, collaborating with colleagues, organizing projects, tracking work, and writing manuscripts, are drawn from a wide variety of published sources, from the daily lives of contributors, and from work with volunteer organizations that have delivered workshops to thousands of researchers since 2010.

Training materials

The course content will be highly inspired to this Carpentries course, even if slightly personalised to our audiences. Please check the full content there.

Sessions

The course programme will include a two hours session in the morning (from 10 to 12 German time) and a tow hours session in the afternoon (from 14 to 16 German time), as follows:

Registrations

Bookings