Gateways for Open Science - XSEDE

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Gateways for Open Science - XSEDE

  1. 1. gateways for open science kaitlin thaney @kaythaney ; @mozillascience xsede conference / july 22, 2013
  2. 2. (0)
  3. 3. doing good is part of our code
  4. 4. help researchers use the power of the open web to change science’s future.
  5. 5. traditions last not because they are excellent, but because inﬂuential people are averse to change and because of the sheer burdens of transition to a better state ... “ “ Cass Sunstein
  6. 6. (1)
  7. 7. gateways: maximise scale foster connectivity minimise friction
  8. 8. our current systems are designed to create friction. despite original intentions.
  9. 9. we’re locked in old mechanisms.
  10. 10. “... up to 70% of research from academic labs cannot be reproduced, representing an enormous waste of money and effort.” - Elizabeth Iorns, Science Exchange
  11. 11. “There’s greater reward, and more temptation to bend the rules.” - David Resnik, bioethicist
  12. 12. our deﬁnition of “knowledge” is evolving. our systems need to follow.
  13. 13. research cycle idea experiment lit review materials publish share results retest analyze collect data
  14. 14. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  15. 15. types of information hypothesis/query protocols parameters content non-digital “stuff” articles proceedings negative results analysis code datasets models (added complexity) prof activities mentorship teaching activities
  16. 16. 3 GB/year
  17. 17. 9 GB/PhD 3 GB/year
  18. 18. 30,000,000 GB/all* 9 GB/PhD 3 GB/year * roughly
  19. 19. how much made available? 9 GB/PhD 3 GB/year * roughly 30,000,000 GB/all*
  20. 20. Source: Michener, 2006 Ecoinformatics.
  21. 21. wasted ... $$$ time resource opportunity
  22. 22. Source: Wolkovich et al. GCB 2012.
  23. 23. (2)
  24. 24. learn from open source (culture as well as technology)
  25. 25. avoid reinventing square wheels. the best minds are usually outside of your walls.
  26. 26. (3)
  27. 27. we need to build capacity, not just more nodes.
  28. 28. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.”
  29. 29. instill best (digital, reproducible) practice “research hygiene”
  30. 30. license-like assessment
  31. 31. in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
  32. 32. (4)
  33. 33. we’re facing a perception problem. (but there’s hope.)
  34. 34. existing system is imperfect we can/need to do better.
  35. 35. “Altmetrics” generally refers to tracking online attention (esp. social media) data to try and get an idea of the wider impact of scholarly research.
  36. 36. ? changing models of authority, community
  37. 37. rethink how we reward “digital research” idea protocols parameters content non-digital “stuff” articles proceedings negative results analysis code datasets models prof activities mentorship teaching activities
  38. 38. Source: Piwowar, et al. PLOS.
  39. 39. (5)
  40. 40. we’re battling inertia and ﬂawed assumptions.
  41. 41. at network scale, you have (and should want) serendipity ... by design.
  42. 42. help us make the web work for science.
  43. 43. questions? kaitlin@mozillafoundation.org @kaythaney ; @mozillascience
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