Reproducible and Open Research
Course description
Requirements:
None. However, basic knowledge in statistics and programming is advantageous.
Course overview:
The participants will be introduced to principles of open research and state of the art techniques of how to enhance the reproducibility of their research.
Topics:
The introductory course provides a broad overview of different aspects of open research and reproducibility. This includes the fields of technical, statistical and computational reproducibility. With a focus on the latter two aspects. The idea of this course is to introduce general concepts of reproducibility and open science to everyone, but with a focus on early career researchers.
Methods:
The course consists of lessons on different aspects of open and reproducible research and offers the opportunity to discuss experiences and expectations on this topic. Furthermore, some hand-on examples of how to implement these methods in your daily work are provided.
Format:
- Duration: 4 Hours
- Language: English
- This course will be offered either on campus (in person), or online.
- For online courses we use the software Zoom.
Dates and Application:
- Courses provided for Helmholtz Munich:
- You can check the current dates and whether the courses are already fully booked here*.
- Please read the corresponding FAQ* before applying via the forms of the HR Development department*.
* Links marked with * are only available for Helmholtz Munich staff.