FAIR Data

FAIR & Reproducible Data: From Data Collection to Reusable Data and Reproducible Research – Hackathon

How is reproducible research created—and how can we tell whether it works?

This interdisciplinary hackathon for researchers and students focuses on FAIR data, research data management, and reproducibility. Working in small groups, participants will collect their own data, document it according to FAIR principles, and consider reproducibility from the very beginning of the research process.
Afterward, groups will exchange their datasets, documentation, and research notes:

• Will others be able to reproduce your results using only the data and descriptions you provide?
• Will they reach different conclusions?
• Are the datasets sufficiently documented, structured, and transparent to enable reuse by others?

The event goes beyond technical implementation. It explores data quality and reusability, the reproducibility of research results, while reflecting on the importance of clearly communicating data, methods, and workflows.

Summer School on practice-oriented RDM in engineering sciences.

A workshop offering hands-on experience with FAIR tools and practices.

Get a practice-oriented introduction to Research Data Management challenges faced by researches like Fiona!