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the future of
  digital science

      kaitlin thaney
       @kaythaney
world science forum, 17 nov 2011
(1)
by way of background
(we’re a tools company)
investment arm
 incubator role
  in-house dev
tiered approach
    build to scale
researcher-focused
(2)
the move to digital
science is changing
science is changing
  (and the research workflow)
research
                   idea

     publish                   lit review


share results                   materials

                   retest
      analyze                  experiment

                collect data
blocking points
                (to name a few ... )
                       idea

     publish                      lit review


share results                       materials

                       retest
      analyze                     experiment

                   collect data
types of information
                (will revisit later)
                       idea
     articles
                                     content
   proceedings     prof activities
                    mentorship
                      patents
share results                   the non-digital “stuff”

                       retest
       analysis                       protocols
      synthesis                      parameters
                    datasets
text text
   text
(3)
our approach
(and some examples)
machines
  researchers
decision makers
sifting problem
specific DBs no better
 (in this case, likely worse)
naming issue
machines
  researchers
decision makers
mix of digital and
 analog mediums
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
the non-digital
the non-digital



 parameters
the non-digital



    about
tracking
expiration
calibration
feedback, visibility, etc.
machines
  researchers
decision makers
how we measure
impact, reputation etc.
imperfect system
technology can help
coordinate where feasible
   reduce duplication
thank you.

k.thaney@digital-science.com
   www.digital-science.com

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