1. The document discusses how cheap data is changing how knowledge is formed and discussed the increasing generativity of data sets through greater accessibility, adaptability, leverage, and ease of use. 2. It notes that collaboration and sharing of data will be necessary and discusses the potential for patient data to enable unanticipated discoveries through broad contributions. 3. Integrating most patient data is seen as mostly non-generative currently but examples of collaborations on generative data are mentioned as proving collaboration is possible. Concerns about privacy and appropriate use are also raised.

1. 1.
cheap data changes the
epistemology.

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

4. opening data attempts to
reflect the epistemology.

5. 2.
we’re going to have to share.

11. “capacity to produce unanticipated
change through unfiltered contributions
from broad and varied audiences”

12. accessibility
adaptability
leverage
ease
of mastery

13. accessibility
adaptability
leverage
ease
of mastery

14. accessibility
adaptability
leverage
ease
of mastery

15. accessibility
adaptability
leverage
ease
of mastery

16. accessibility
adaptability
leverage
ease
of mastery

17. 2.
systematically increasing the
generativity of data sets.

20. accessibility
adaptability
leverage
ease
of
mastery
0
25
25
25
25
THREE
OPTIONS
TO
DOWNLOAD
NO
CLEAR
LICENSE
PRIVACY
RESTRICTIONS
METADATA

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

24. accessibility
adaptability
leverage
ease
of
mastery
IMPACT
OF
PRIVATE
INTERVENTION

25. 3.
research + “citizen”
is also coming our way.

29. integrating (most) patient
data is (mostly) non-
generative.

32. http://opensnp.org/users/615

33. http://files.snpedia.com/reports/promethease_data/genome_jtw_ui2.html

35. collaborations on
generative data are
proven to be possible.

37. 37

39. 39

41. 4.
collaboration implies new
forms of governance.

43. portable legal consent
populate the open layer

44. terms in blue pop up definitions

45. volunteer must click to proceed
all boxes must be checked

46. volunteer cannot skip video

48. ~1500 enrolled
~65% contributing

49. 49

50. 50

51. 51

52. patient
email
patient
#XYZ123
researcher

55. coda:
if we get it wrong...

56. 56

57. assume 1,000,000 downloads
assume 10% false positive rate
100,000 doctor visits
$1000 per biopsy

58. john.wilbanks@sagebase.org
wilbanks@nitrd.gov
@wilbanks