FAIR data fundamentals (150)
The course is aimed to widen the idea of making the data FAIR: Findable, Accessible, Interoperable and Reusable. During this journey we will identify and work on common difficulties in sharing sensitive or health data. You will have the opportunity to try out the process flows and standards which allow the data to be better organized and sharable, but yet stay protected. After the course you will be able to improve data quality and create FAIR data sets.
1.900,00 €
How this course works
Event location
- online
Organizer
- Fraunhofer FIT
Language
- english
You are in the right place, if..
You are
- working with data related stuff
- responsible for implementing new data strategies
- collecting data that other people might be using
You are concerned with questions like
- How to make data AI ready
These are your trainers
Max Mustermann
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Martina Musterfrau
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Martina Musterfrau
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