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COAR-SPARC Joint Meeting - Porto

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COAR-SPARC Joint Meeting - Porto

  1. 1. 1. prediction culture.
  2. 2. “predictions are hard. especially about the future”
  3. 3. but predictions about me are increasingly accurate.
  4. 4. “it’s like they know me”
  5. 5. it’s like they know me
  6. 6. when it comes to academic fields that are, or can be, data driven…
  7. 7. probability is going to be a way that we know.
  8. 8. a different way of knowing requires a different way of teaching
  9. 9. probability changes every time new information is fed to the model.
  10. 10. are we going to have pedagogy that can keep up?
  11. 11. 2. the platform of the future
  12. 12. Multi-side platform Seller Buyercross-platform network effect
  13. 13. “the sharing economy”
  14. 14. “the rental economy”
  15. 15. the markets that develop are better than terrible status quo.
  16. 16. but they are markets of rent, of contractor, of “better than terrible.”
  17. 17. what?
  18. 18. open multi-sided platforms.
  19. 19. like closed MSPs, gets more valuable the more people participate in it.
  20. 20. the problem is: we don’t think in terms of MSPs, or markets, and we should.
  21. 21. “is it open” is the wrong question.
  22. 22. reusable content is more valuable to the end user than non-reusable content.
  23. 23. (built on reusable content)
  24. 24. (built on unusable content)
  25. 25. “does it create more value than a closed version” is the right question.
  26. 26. 3. thinking in terms of value creation requires practice change a technical one, increasingly.
  27. 27. not just solo labs, but communities.
  28. 28. TCGA Pan-Cancer Consortium
  29. 29. TCGA Pan-Cancer Consortium
  30. 30. TCGA Pan-Cancer Consortium
  31. 31. the problem: the tacit knowledge used to analyze data is not captured.
  32. 32. it’s a science practice problem. it is not an “open” problem.
  33. 33. doi:10.7303/syn1710680.4 TCGA Pan-Cancer Consortium
  34. 34. combining new practice with version control and provenance…
  35. 35. 18NPG papers 68core projects 248researchers 28institutions 1070datasets 1723results TCGA Pan-Cancer Consortium
  36. 36. gained users from across TCGA
  37. 37. 47
  38. 38. 48 A B C D E F 1 2 3 4 5 6 groups datasets subtypes
  39. 39. 49 A B C D E F 1 2 3 4 5 6 G ...
  40. 40. not just solo labs, but challenges.
  41. 41. code sharing a prerequisite. http://synapse.org
  42. 42. 53 76% accurate.
  43. 43. generated an entire suite of available math models attacking the problem.
  44. 44. 4. practice change requirement is not limited to the practitioners.
  45. 45. how many sides? platform design? price? how to govern?
  46. 46. how many sides? platform design? price? how to govern?
  47. 47. how many sides? platform design? price? how to govern?
  48. 48. we need to embrace design to be a platform.
  49. 49. not designed around the idea, let’s build a closed ecosystem.
  50. 50. responding with “let’s build an open ecosystem” isn’t going to win.
  51. 51. responding with “let’s create more value for the user” is.
  52. 52. design prioritizes the user, not the asset being licensed
  53. 53. winning design can embed open into systems that never contemplated open.
  54. 54. written by a doctor edited by a lawyer re-edited by a committee
 presented to a participant for zero-sum game
  55. 55. open designs to center the citizen in research
  56. 56. informed consent in a mobile context?
  57. 57. 1. series of interviews and requirements gathering
 2. interaction design process and prototyping
 3. consent development
  58. 58. courtesy of: David Fore
  59. 59. gait balance voice tapping
  60. 60. 1. tiered information access by participants
 2. “pictorial” dominant on first information tier
 3. text dominant on second information tier
 4. require perfect score on short assessment
  61. 61. 82
  62. 62. all five apps share: open consent interface open cloud middleware data access after embargo data return to participant
  63. 63. open methods that create more value than closed methods.
  64. 64. social value. moral value. scientific value. economic value. research value
  65. 65. educational value.
  66. 66. what we “know” is a lot less stable than it used to be.
  67. 67. the right to reuse is the right to be current.
  68. 68. the right to reuse is the right to get better.
  69. 69. the right to reuse is the right to create new value.
  70. 70. thank you. @wilbanks john.wilbanks@sagebase.org

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