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  • 1. gateways for open science kaitlin thaney @kaythaney ; @mozillascience xsede conference / july 22, 2013
  • 2. (0)
  • 3. doing good is part of our code
  • 4. help researchers use the power of the open web to change science’s future.
  • 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. (1)
  • 7. gateways: maximise scale foster connectivity minimise friction
  • 8. our current systems are designed to create friction. despite original intentions.
  • 9. we’re locked in old mechanisms.
  • 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. “There’s greater reward, and more temptation to bend the rules.” - David Resnik, bioethicist
  • 12. our definition of “knowledge” is evolving. our systems need to follow.
  • 13. research cycle idea experiment lit review materials publish share results retest analyze collect data
  • 14. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  • 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. 3 GB/year
  • 17. 9 GB/PhD 3 GB/year
  • 18. 30,000,000 GB/all* 9 GB/PhD 3 GB/year * roughly
  • 19. how much made available? 9 GB/PhD 3 GB/year * roughly 30,000,000 GB/all*
  • 20. Source: Michener, 2006 Ecoinformatics.
  • 21. wasted ... $$$ time resource opportunity
  • 22. Source: Wolkovich et al. GCB 2012.
  • 23. (2)
  • 24. learn from open source (culture as well as technology)
  • 25. avoid reinventing square wheels. the best minds are usually outside of your walls.
  • 26. (3)
  • 27. we need to build capacity, not just more nodes.
  • 28. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.”
  • 29. instill best (digital, reproducible) practice “research hygiene”
  • 30. license-like assessment
  • 31. in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
  • 32. (4)
  • 33. we’re facing a perception problem. (but there’s hope.)
  • 34. existing system is imperfect we can/need to do better.
  • 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. ? changing models of authority, community
  • 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. Source: Piwowar, et al. PLOS.
  • 39. (5)
  • 40. we’re battling inertia and flawed assumptions.
  • 41. at network scale, you have (and should want) serendipity ... by design.
  • 42. help us make the web work for science.
  • 43. questions? kaitlin@mozillafoundation.org @kaythaney ; @mozillascience