Making the web work for science - eResearch nz

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Keynote for eResearch NZ conference at Waikato University

Keynote for eResearch NZ conference at Waikato University

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  • 1. kaitlin thaney @kaythaney ; @mozillascience eResearch NZ / 2 july 2014 making the web work for science
  • 2. doing good is part of our code
  • 3. help researchers use the power of the open web to change science’s future.
  • 4. (0)
  • 5. science is still (largely) rooted in 17th c. practices. (with more powerful horses)
  • 6. early forms of knowledge sharing
  • 7. our current systems are designed to create friction. despite original intentions.
  • 8. we’re locked in old mechanisms.
  • 9. What Des-Cartes did was a good step. You have added much several ways, & especially in taking ye colours of thin plates into philosophical consideration. If I have seen further it is by standing on ye shoulders of Giants. - Isaac Newton, 1676 “ “
  • 10. existing system is imperfect
  • 11. 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
  • 12. power, performance, scale
  • 13. current state of science articles data patents
  • 14. some have a firehose articles data patents
  • 15. (1)
  • 16. leveraging the power of the web for scholarship
  • 17. - access to content, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency. “web-enabled science”
  • 18. emergence of new communities, practice
  • 19. research cycle idea experiment lit review materials publish share results retest analyze collect data
  • 20. 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
  • 21. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  • 22. how to shift practice towards open? routine rewardcue
  • 23. Source: Michener, 2006 Ecoinformatics.
  • 24. Source: Wolkovich et al. GCB 2012.
  • 25. wasted ... $$$ time resource opportunity
  • 26. (2)
  • 27. looking beyond “open” is access enough?
  • 28. code (interop) community (people) code/data literacy (means to learn/engage)
  • 29. our systems need to talk to one another. leveraging open technology, existing infrastructure.
  • 30. unpacking what the web can do for science
  • 31. code as a research object what’s needed to reuse ? http://bit.ly/mozfiggit
  • 32. code as a research object http://xkcd.com/285/ http://bit.ly/mozfiggit
  • 33. (community driven) metadata for software discovery: JSON-LD http://bit.ly/mozfiggit
  • 34. (3)
  • 35. our practices are limiting us. how best move towards adoption?
  • 36. “web-enabled science” - access to content, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency.
  • 37. “web-enabled science” what’s missing? - access to content, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency.
  • 38. social software hardware infrastructure layers
  • 39. “the social infrastructure” routine rewardcue
  • 40. upping our digital literacy
  • 41. upping our digital literacy
  • 42. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.” - Selena Decklemann
  • 43. current activity: 130+ instructors (60+, training) 3700+ learners
  • 44. instill best (digital, reproducible) practice “research hygiene”
  • 45. building capacity locally (join us.)
  • 46. focus on building capacity, not just more nodes.
  • 47. (4)
  • 48. shifting practice (and getting it to stick) is challenging. ... but not impossible.
  • 49. 63 nations 10,000 scientists 50,000 participants can we do the same for research on the web?
  • 50. tools and technology cultural awareness, best practice connections, open dialogue skills training what are the necessary components?
  • 51. Source: Piwowar, et al. PLOS.
  • 52. (5)
  • 53. the future is here ... it’s just not evenly distributed. - william gibson “ “
  • 54. operating in isolation doesn’t scale.
  • 55. coordination is key. open as an accelerant. build capacity, community.
  • 56. join us (and the conversation.) teach, contribute, learn. http://software-carpentry.org http://mozillascience.org
  • 57. kaitlin@mozillafoundation.org @kaythaney ; @mozillascience special thanks: