- Course overview
- Search within this course
- Let's begin with sharing our learnings and resources
- Scientific method and data life cycle
- Technical and practical aspects of data management
- Towards a standardised open imaging data format: OME–Zarr
- Data storage: Public Repositories, REMBI, and Ontologies
- Working together
- Identity yourself in the data world
- Summary and acknowledgements
- Authors' affiliations
- Your feedback
- Resources and references
Identity yourself in the data world
After exploring this collection, you’ve seen how life science research depends on a diverse community of people working with data, samples, and information at different stages of the research journey. From collecting samples and generating data to managing, analysing, curating, and sharing it, each role contributes to ensuring that research data remain FAIR – Findable, Accessible, Interoperable, and Reusable. Collaboration across these roles is what makes high-quality, reusable science possible.
Now it’s your turn! Discover which life science data role best matches your interests, preferences, and strengths by trying out the quiz below. Which part of the data journey are you most suited to support?
Click on ‘Start’ in the image below to begin the quiz (please note, you can choose only one answer for each question, the one you relate with the most):