BESSY II datathon: Standardizing science through FAIR data
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Helmholtz-Zentrum Berlin für Materialien und Energie
Albert-Einstein-Straße 15,
12489 Berlin
A hands-on workshop dedicated to tackling one of the key challenges in modern materials science—managing and integrating heterogeneous data and file formats. During this event, participants will develop practical workflows and gain experience with tools that support data standardization using the NeXus common data standards. Through collaborative problem-solving and guided exercises, attendees will learn how to make experimental data more Findable, Accessible, Interoperable, and Reusable (FAIR), paving the way for more efficient and reproducible scientific research.
Specifically, you will:
- Learn to use the research data management platform (NOMAD) to manage your scientific data yourself in a FAIR way
- Learn to use, contribute to, and develop community-agreed data standards (NeXus) in your experiment to increase reusability
- Write a FAIR data conversion workflow of your own example
Who should attend:
- Postdocs, PhDs, and researchers doing experiments (XAS, photoemission spectroscopy, etc.) at the Synchrotron facility, such as BESSY II
- Early career researcher willing to learn to manage their scientific data, complying FAIR principle
Requirements:
- Basic knowledge of Python is advantageous
- Example dataset to work with during the datathon
- Sharing of the example dataset before the application deadline
- Participation in a pre-datathon remote meeting (two weeks before the event)
- Good command of the English language