why open and machine readable?
May 17, 2015
why open and machine readable?
1.cheap data changes the
epistemology.
OPS = AB(H + BB + HBP) + TB(AB + BB + SF + HBP) / AB(AB + BB + SF + HBP)
opening data attempts to reflect the epistemology.
1. big data as we experience it.
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“open” data for “good”
2. if we have to share it, at some
point we’ll have to prioritize sets.
commitment.
citation.
price.
“capacity to produce unanticipated change through unfiltered contributions
from broad and varied audiences”
a design inspiration
3. if we have to prioritize it, we have
to have metrics for decisions.
what things regulate?
accessibility
adaptability
leverage
easeof mastery
accessibility
adaptability
leverage
easeof mastery
accessibility
adaptability
leverage
easeof mastery
accessibility
adaptability
leverage
easeof mastery
accessibility
adaptability
leverage
easeof mastery
accessibility
adaptability
leverage
easeof mastery
EASY TO USENO OPEN LICENSE
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accessibility
adaptability
leverage
easeof mastery
NO OPEN LICENSEDOWNLOAD AVAILABLE
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accessibility
adaptability
leverage
easeof mastery
WHAT’S THE MODEL?
4. systematically increasing the
generativity of data sets.
accessibility
adaptability
leverage
easeof mastery
0
25
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25
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THREE OPTIONS TO DOWNLOADNO CLEAR LICENSEPRIVACY RESTRICTIONSMETADATA
which patients have tumor and normal samples amidst a group of celfiles?
accessibility
adaptability
leverage
easeof mastery
IMPACT OF PRIVATE INTERVENTION
5. what’s it mean when everything
is data?
it’s not about net present value.
it’s about net potential value.