"Data in the Digital Age" - Hadoop Big Data Meetup

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"Data in the Digital Age" - Hadoop Big Data Meetup

  1. 1. made available by Paul Keller under a CC-BY-2.0 licenseThursday, 14 July 2011
  2. 2. well .. sort of. made available by Paul Keller under a CC-BY-2.0 licenseThursday, 14 July 2011
  3. 3. data in the digital age kaitlin thaney austin big data user group, 13 july 2011 austin, texasThursday, 14 July 2011
  4. 4. xi. backgroundThursday, 14 July 2011
  5. 5. about me expat technologist open science about me sameAsThursday, 14 July 2011
  6. 6. Thursday, 14 July 2011
  7. 7. technology company publisher link london, nyc, tokyoThursday, 14 July 2011
  8. 8. investment arm incubator role in-house devThursday, 14 July 2011
  9. 9. tiered approach build to scale researcher-focusedThursday, 14 July 2011
  10. 10. <text>Thursday, 14 July 2011
  11. 11. about 1815Thursday, 14 July 2011
  12. 12. first geological map “strata” reputationThursday, 14 July 2011
  13. 13. data ... metadata / markup experimentation metricsThursday, 14 July 2011
  14. 14. 1. science is changingThursday, 14 July 2011
  15. 15. 1. science is changing (and the research workflow)Thursday, 14 July 2011
  16. 16. research idea publish lit review share results materials retest analyze experiment collect dataThursday, 14 July 2011
  17. 17. blocking points (to name a few ... ) idea publish lit review share results materials retest analyze experiment collect dataThursday, 14 July 2011
  18. 18. types of information (will revisit later) idea articles content proceedings prof activities mentorship patents share results the non-digital “stuff” retest analysis protocols synthesis parameters datasetsThursday, 14 July 2011
  19. 19. text text textThursday, 14 July 2011
  20. 20. Thursday, 14 July 2011
  21. 21. remaining roadblocks specialisation of tools (+/-) interoperability accessibility design decisions the “social issue”Thursday, 14 July 2011
  22. 22. 2. focus areasThursday, 14 July 2011
  23. 23. (3)Thursday, 14 July 2011
  24. 24. knowledge discovery software applications research managementThursday, 14 July 2011
  25. 25. knowledge discovery software applications research managementThursday, 14 July 2011
  26. 26. data ... content, compounds, collectionsThursday, 14 July 2011
  27. 27. Thursday, 14 July 2011
  28. 28. Thursday, 14 July 2011
  29. 29. Thursday, 14 July 2011
  30. 30. Thursday, 14 July 2011
  31. 31. Thursday, 14 July 2011
  32. 32. Thursday, 14 July 2011
  33. 33. Thursday, 14 July 2011
  34. 34. text text textThursday, 14 July 2011
  35. 35. can fine-tuneThursday, 14 July 2011
  36. 36. name disambiguationThursday, 14 July 2011
  37. 37. 10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-oneThursday, 14 July 2011
  38. 38. knowledge discovery software applications research managementThursday, 14 July 2011
  39. 39. gigabytes, not terabytesThursday, 14 July 2011
  40. 40. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/Thursday, 14 July 2011
  41. 41. Thursday, 14 July 2011
  42. 42. better tracking is neededThursday, 14 July 2011
  43. 43. ordering + processing the non-digitalThursday, 14 July 2011
  44. 44. protocols parameters calibration literatureThursday, 14 July 2011
  45. 45. the non-digital parametersThursday, 14 July 2011
  46. 46. the non-digital aboutThursday, 14 July 2011
  47. 47. not just tracking, but organisation + analysisThursday, 14 July 2011
  48. 48. Thursday, 14 July 2011
  49. 49. 000s 100s 200s 300s 400s 500s 600sThursday, 14 July 2011
  50. 50. 000s ... 100s philosophy/psych 200s religion 300s social sci 400s ... 500s lang, natsci, maths 600s tech/appliedsciThursday, 14 July 2011
  51. 51. 000s computersci 100s philosophy/psych 200s religion 300s problems social sci 400s ... 500s lang, natsci, maths 600s tech/appliedsciThursday, 14 July 2011
  52. 52. spatial, topical mapping arbitrary, heuristic difficult to editThursday, 14 July 2011
  53. 53. Thursday, 14 July 2011
  54. 54. Thursday, 14 July 2011
  55. 55. Thursday, 14 July 2011
  56. 56. Thursday, 14 July 2011
  57. 57. knowledge discovery software applications research managementThursday, 14 July 2011
  58. 58. data capture (of a different sort)Thursday, 14 July 2011
  59. 59. tools for decision makers (research admin / funders) using technology to spur cultural shiftThursday, 14 July 2011
  60. 60. existing system is imperfectThursday, 14 July 2011
  61. 61. “Right now were going through a Cambrian explosion of metrics.” - Johan Bollen Nature 465, 864-866 (2010) | doi:10.1038/465864aThursday, 14 July 2011
  62. 62. a wealth of mechanisms exist ... citation / impact factor h - index weighted citations (eigenfactor, sjr) “betweenness centrality” alt-metrics, etc.Thursday, 14 July 2011
  63. 63. challenges : harmonisation track /maintain judgement calls external pressuresThursday, 14 July 2011
  64. 64. measurements still stuck in the paper metaphorThursday, 14 July 2011
  65. 65. “ what do we want on the back of our (science) baseball * cards? “ - paul groth (et al.) * UK folks, think Top TrumpsThursday, 14 July 2011
  66. 66. Thursday, 14 July 2011
  67. 67. Thursday, 14 July 2011
  68. 68. Thursday, 14 July 2011
  69. 69. 4. our goalThursday, 14 July 2011
  70. 70. software that understands scienceThursday, 14 July 2011
  71. 71. software that understands scientistsThursday, 14 July 2011
  72. 72. reflect changes in digital research account for new “data”Thursday, 14 July 2011
  73. 73. more efficient research increase productivity accelerate discovery shift cultureThursday, 14 July 2011
  74. 74. thank you. k.thaney@digital-science.com www.digital-science.comThursday, 14 July 2011

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