Reproducible and Open Research

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*. The course registration will usually open 8 weeks prior to the course.
  • Please read the corresponding FAQ* before applying via the forms of the HR Development department*.
  • NEWS: As long as the internal registration homepage CaMS is not working, please contact Elmar Spiegel for registrations.

 * Links marked with * are only available for Helmholtz Munich staff.