research data alliance plenary

53
why open and machine readable?

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Keynote slides on living in a machine-readable, open by default data world.

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Page 1: Research Data Alliance Plenary

why open and machine readable?

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1.cheap data changes the

epistemology.

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OPS = AB(H + BB + HBP) + TB(AB + BB + SF + HBP) / AB(AB + BB + SF + HBP)

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opening data attempts to reflect the epistemology.

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1. big data as we experience it.

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“open” data for “good”

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2. if we have to share it, at some

point we’ll have to prioritize sets.

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commitment.

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citation.

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price.

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“capacity to produce unanticipated change through unfiltered contributions

from broad and varied audiences”

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a design inspiration

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3. if we have to prioritize it, we have

to have metrics for decisions.

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what things regulate?

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accessibility

adaptability

leverage

easeof mastery

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accessibility

adaptability

leverage

easeof mastery

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accessibility

adaptability

leverage

easeof mastery

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accessibility

adaptability

leverage

easeof mastery

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accessibility

adaptability

leverage

easeof mastery

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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?

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4. systematically increasing the

generativity of data sets.

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accessibility

adaptability

leverage

easeof  mastery

0

25

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25

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THREE  OPTIONS  TO  DOWNLOADNO  CLEAR  LICENSEPRIVACY  RESTRICTIONSMETADATA

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which patients have tumor and normal samples amidst a group of celfiles?

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accessibility

adaptability

leverage

easeof  mastery

IMPACT  OF  PRIVATE  INTERVENTION

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5. what’s it mean when everything

is data?

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it’s not about net present value.

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it’s about net potential value.