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DTSTAMP:20260616T033330Z
UID:8b6f87d6-2e8a-4584-87f8-8c7061182e3b
DTSTART:20190916T090000Z
DTEND:20190916T170000Z
DESCRIPTION:Educators:\nBjörn Grüning (RBC)\, Wolfgang Müller (de.NBI-Sy
 sBio)\n\nDate:\n16.09.2019\n\nLocation:\nMarsilius-Arkaden\nTurm West\, Ro
 om K13\nIm Neuenheimer Feld **6.130.3**\n69120 Heidelberg\nGermany\n\nCont
 ents:\nThere is a huge call towards FAIR data. However\, what is *FAIR*? M
 any 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.\n\nA completely different discuss
 ion is: How do I approach making my data FAIR? Making data FAIR can be ted
 ious\, manual work.\n\nWithin this workshop we will demonstrate another ap
 proach\, i.e. using the workflow system Galaxy\, as well as Jupyter Notebo
 oks to extract\, enrich\, process\, and finally upload data into the FAIRD
 OMHub. This is built around the example use case of building an age estima
 tor for humans from RNA data.\n\nOn the way\, we will give reference to th
 e software and services we provide and the type of advice that we can give
 .\n\nKeywords:\nFAIR data\, Galaxy\, Jupyter Notebooks\, FAIRDOMHub\n\nToo
 ls:\nGalaxy\, Jupyter Notebooks\, FAIRDOMHub\n\nPrerequisites:\nNone
LOCATION:Heidelberg
SUMMARY:Combining Workflows\, Tools and Data Management - GCB 2019
URL;VALUE=URI:https://www.denbi.de/training/595-combining-workflows-tools-a
 nd-data-management-gcb-2019
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