sponsored by Helmholtz Information & Data Science Academy (HIDA)
in cooperation with Core Facility Statistical Consulting at Helmholtz Zentrum München - German Research Center for Environmental Health (Helmholtz Munich)
Reproducible and Open Research
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.
Learning Goals
1. Understand Key Concepts of Open Research and Reproducibility
- Define principles of open science and distinguish types of reproducibility (technical, statistical, and computational).
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Explain the importance of reproducibility in enhancing research transparency and credibility.
2. Learn Techniques for Enhancing Reproducibility
- Discuss tools and strategies to strengthen reproducibility in everyday research tasks.
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Identify methods to improve statistical and computational reproducibility in research.
3. Discuss Challenges and Benefits of Open Research
- Reflect on the challenges and benefits of open and reproducible research, particularly for early career researchers.
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Share experiences and strategies for integrating open science principles into diverse research settings.
Prerequisites
None. However, basic knowledge in statistics and programming is advantageous.
Target Group
Scientists who want to learn about reproducibility of research and open science, with a focus on early career researchers.
Course Day & Times
Nov 13, 2025, 1:30 pm - 5:00 pm
NOTE: Registration will open October 16, 2025, 12 pm.
Attendance & Certificates
The course content is coordinated, so we strongly recommend that you do not miss any part of the course. To receive a certificate we expect full time and active participation.
Registration & Cancellation
This course is open to individuals affiliated with Helmholtz or a HIDA Partner only.
Your registration for this course is binding. If you need to leave/miss the course for a period of time, please let us know in advance via hida-courses@helmholtz.de.
If you have to cancel the course for any reason, please do so as soon as possible to allow time for others to take your seat. To cancel, please withdraw your registration on the course site or write an email to hida-courses@helmholtz.de.
Additional Information
There is no waiting list for this course! If someone withdraws from a course, their place is automatically reopened. We therefore advise you to keep an eye on the registration in case the course is fully booked and you would like to attend. Also, this course will be offered again in the future - you can check our HIDA course catalog for updates.
This course is free of charge.
