SlideShare a Scribd company logo
tools for digital
   research

    kaitlin thaney
     @kaythaney
astroinformatics, 27 sep 2011
a few knowns,
by way of background
(not an astronomer)
“... now old enough to legally
           drink ...”
                - perry greenfield
my knowledge
Astroinformatics 2011
science
has long been
data intensive
Astroinformatics 2011
Astroinformatics 2011
changes:
volume / scale
  complexity
  “hammers”
      ...
text text
   text
gaps still exist
Astroinformatics 2011
we’re a tools company
technology company
   publisher link
 london, nyc, tokyo
invest
incubate
 develop
tiered approach
    build to scale
researcher-focused
(3)
machines
  researchers
decision makers
machines
  researchers
decision makers
“All truths are
     easy to
understand once
    they are
  discovered;

 the point is to
discover them.”
knowledge discovery
knowledge discovery
(an example in chemistry)
still the starting point
patents are no better
 (in many cases, worse)
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
can streamline
name disambiguation
10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one

     (still strains the minds of the best)
machine readability
  discoverability
    annotation
   (even search)
Astroinformatics 2011
Astroinformatics 2011
machines
 researchers
decision makers
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
Astroinformatics 2011
tracking
expiration
calibration
protocols
parameters
calibration
 misc. lit
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
still issues with
     management
(we’re human after all)
“i invented a folder based
        system ...”
“i invented a folder based
         system ...”


“yeah, we had a LIMS. it only
ever got used to store photos
    from lab nights out.”
Astroinformatics 2011
feedback, visibility, etc.
sharing information
still hits most’s mental block
on the horizon ...
machines
  researchers
decision makers
rewards, incentives
   the “ why ”
“the future is here ...
       just not evenly
          distributed yet.”
               - William Gibson
problems aren’t as
  new or novel
as you may think
technology can help
coordinate where feasible
   reduce duplication
more efficient research
increase productivity
enable reproducibility
thank you.

kaitlin@digital-science.com
 www.digital-science.com
        @kaythaney

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Astroinformatics 2011