Enabling reproducibility in data science - learn why it matters and how you can do it

Session

Workshop session

9 Jun 2022, 10:30

online

3. Foundations of research software publication

Tobias Schlauch (DLR)

09/06/2022, 10:30

We will provide you with actionable advice about how to prepare your research code before publishing it or submitting it alongside a research publication.

This talk will cover the following topics:
• Code repository structuring
• Minimum coding practices
• Documentation
• Open source licensing
• Minimum software release practices
• Software citation

We will discuss these topics at...

1. Practical steps towards reproducible research

Heidi Seibold

09/06/2022, 10:30

In this workshop we will look at four key steps to get started with reproducible research:

(1) Get organized
(2) Use Open Source Software
(3) Use Version Control
(4) Make your work available online.

Although reproducible research practices can first seem intimidating, we will find a way to get started that works for you.

2. Scientific metadata: Fundamentals of structured and standardized research data annotation

Annika Strupp, Silke Gerlich (HMC)

09/06/2022, 10:30

This course is limited to 25 participants

Did you ever feel lost in incomprehensible research data documentation? This session introduces the basics of machine-readable research data annotation with domain-specific metadata schemas and standards. Learn, why accurate and harmonized description of research data is key for scientific exchange and how to find a suitable metadata framework...