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DTSTAMP:20260624T001025Z
UID:e14cf446-c1c9-4980-9d0e-6de4e38077b5
DTSTART:20220425T070000Z
DTEND:20220429T150000Z
DESCRIPTION:One of the key principles of proper scientific procedure is the
  act of repeating an experiment or analysis and being able to reach simila
 r conclusions. Published research based on computational analysis\, e.g. b
 ioinformatics or computational biology\, have often suffered from incomple
 te method descriptions (e.g. list of used software versions)\; unavailable
  raw data\; and incomplete\, undocumented and/or unavailable code. This es
 sentially prevents any possibility of attempting to reproduce the results 
 of such studies. The term “reproducible research” has been used to des
 cribe the idea that a scientific publication based on computational analys
 is should be distributed along with all the raw data and metadata used in 
 the study\, all the code and/or computational notebooks needed to produce 
 results from the raw data\, and the computational environment or a complet
 e description thereof. Reproducible research not only leads to proper scie
 ntific conduct but also provides other researchers the access to build upo
 n previous work. Most importantly\, the person setting up a reproducible r
 esearch project will quickly realize the immediate personal benefits: an o
 rganized and structured way of working. The person that most often has to 
 reproduce your own analysis is your future self!
SUMMARY:Tools for Reproducible Research
URL;VALUE=URI:https://uppsala.instructure.com/courses/58267
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