FAIR Data Mindset: organizing life science research data for Reproducibility and Impact (Englisch)
| FAIRDMS-E-001 | |
| 07.11.2025 | |
| 1 h | |
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| End of registration period: 05.11.2025 | |
| Online course | |
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| 20 | |
| 20 | |
| free of charge | |
| The course is offered as part of ETH Scientific IT Service's mandate to provide research data management support for scientists at ETH Zurich. For details see https://sis.id.ethz.ch/services/rdm/ | |
| Topics covered: * Why poor data habits silently undermine research. What a FAIR data mindset is and how it applies to your daily work. * Simple tools like ELNs that support structured science. | |
| "At the end of the webinar, you will be able to:
- define the FAIR data mindset and its relevance for life sciences
- spot typical pitfalls in data handling and documentation
- understand the basic mechnisam on how to structure, annotate, and preserve research data
- take first steps toward reproducibility using the Research Data Management tools provided by the Scietific IT Services at the ETH Zurich." | |
| In life science research, we focus heavily on experimental precision, but rarely on how we manage our data. This webinar introduces the FAIR data mindset, helping researchers turn scattered spreadsheets and lab notes into structured, reproducible, and sharable research assets. | |
| English | |
| Life Science Master and PhD students, postdocs, and staff scientists. | |
| This course is designed for beginners and does not require any previous knowledge of the research data management. |