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SUMMARY:MASSIVE DATA\, THE DIGITIZATION OF SCIENCE\, AND REPRODUCIBILITY O
 F RESULTS
DTSTART;VALUE=DATE-TIME:20100701T143000Z
DTEND;VALUE=DATE-TIME:20100701T153000Z
DTSTAMP;VALUE=DATE-TIME:20130523T200956Z
UID:indico-event-95311@cern.ch
DESCRIPTION:As the scientific enterprise becomes increasingly computationa
 l and data-driven\, the nature of the information communicated must change
 . Without inclusion of the code and data with published computational resu
 lts\, we are engendering a credibility crisis in science. Controversies su
 ch as ClimateGate\, the microarray-based drug sensitivity clinical trials 
 under investigation at Duke University\, and retractions from prominent jo
 urnals due to unverified code suggest the need for greater transparency in
  our computational science. In this talk I argue that the scientific metho
 d be restored to (1) a focus on error control as central to scientific com
 munication and (2) complete communication of the underlying methodology pr
 oducing the results\, ie. reproducibility. I outline barriers to these goa
 ls based on recent survey work (Stodden 2010)\, and suggest solutions such
  as the “Reproducible Research Standard” (Stodden 2009)\, giving open 
 licensing options designed to create an intellectual property framework fo
 r scientists consonant with longstanding scientific norms.\n\nhttp://indic
 o.cern.ch/conferenceDisplay.py?confId=95311
LOCATION:CERN Main Auditorium
URL:http://indico.cern.ch/conferenceDisplay.py?confId=95311
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