Björn Grüning (RBC), Wolfgang Müller (de.NBI-SysBio), Alexander Fillbrunn (CIBI),
Turm West, Room K13
Im Neuenheimer Feld **6.130.3**
There is a huge call towards FAIR data. However, what is *FAIR*? Many of us know how that FAIR means Findable, Accessible, Interoperable, Reusable. However the questions "How do I achieve FAIR?" and "How FAIR is FAIR enough?" are still open to debate.
A completely different discussion is: How do I approach making my data FAIR? Making data FAIR can be tedious, manual work.
Within this workshop we will demonstrate another approach, i.e. using the workflow system Galaxy, as well as Jupyter Notebooks to extract, enrich, process, and finally upload data into the FAIRDOMHub. This is built around the example use case of building an age estimator for humans from RNA data.
On the way, we will give reference to the software and services we provide and the type of advice that we can give.
FAIR data, Galaxy, Jupyter Notebooks, FAIRDOMHub
Galaxy, Jupyter Notebooks, FAIRDOMHub