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     On 4/16/2015 8:32 AM, Peter A wrote: 
     
    
      
        Hi, 
         
         
          I would be interested in joining that Hangout.  The situation
          is a little bit of a mess right now.  Besides authors not
          getting acknowledgement there is the reproducibility issue. 
          Different implementations of the same algorithm can have very
          different results.  When I review a paper I try to remind
          people to cite the software and the specific version.  I know
          of at least a couple of cases where performance claims were
          invalid because they used software with a known "bug" in it. 
           
         
        I've been lazy and haven't bothered to publish papers for
          most of my software.  Used to get e-mails from people asking
          how to cite it since there was no paper.  I now think people
          have learned how to cite webpages better. 
         
       
     
     
    For everyone's info:  There is a 2014 book from CRC Press called
    Implementing Reproducible Research [1].  There two chapters that
    discuss the use of OS practices in the conduction of science
    research, and they make points wrt reproducibility similar to those
    Peter has made above.  One of those chapters is by Millman and
    Perez, and in keeping with many of their points they've made the
    chapter available via github [2].  :)    
     
    My point with this reference is to support what Peter is saying WRT
    reproducibility, but also to point out the other ways that open
    source...both in the creation of scientific software and in research
    practice/process...can/could/will/is benefiting the conduction of
    scientific research. 
     
    My $0.03:  I perceive that there is a great hunger in research
    communities for the now clear benefits of using open source
    practices:  collaboration, transparency and the resulting
    improvements in communication and education, technical innovation,
    cross-org and cross-discipline information sharing, as well as the
    rigor and scalability that comes from 'good practice/process' (e.g.
    releng) and associated tooling...to mention but a few ;). 
     
    In other words:  +1 
     
    Scott 
     
    [1] http://www.crcpress.com/product/isbn/9781466561595 
    [2] https://github.com/fperez/repro-chapter-oss 
     
    
      
      
       
      
       
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