Making the web work for science - University of Queensland
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Making the web work for science - University of Queensland Presentation Transcript

  • 1. kaitlin thaney @kaythaney ; @mozillascience UQ / 23 june 2014 making the web work for science
  • 2. help researchers use the power of the open web to change science’s future.
  • 3. (0)
  • 4. science is still (largely) rooted in 17th c. practices. (and not in that “retro is cool” sort of way.)
  • 5. early forms of knowledge sharing
  • 6. our current systems are designed to create friction. despite original intentions.
  • 7. 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 “ “
  • 8. existing system is imperfect
  • 9. 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
  • 10. (1)
  • 11. - 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”
  • 12. research cycle idea experiment lit review materials publish share results retest analyze collect data
  • 13. 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
  • 14. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  • 15. “... up to 70% of research from academic labs cannot be reproduced, representing an enormous waste of money and effort.” - Elizabeth Iorns, Science Exchange
  • 16. Source: Michener, 2006 Ecoinformatics.
  • 17. (2)
  • 18. is open enough? what does it mean to “operate on/like the web”?
  • 19. code (interop) community (people) code/data literacy (means to learn/engage)
  • 20. our systems need to talk to one another.
  • 21. “One worry I have is that, with reviews like this, scientists will be even more discouraged from publishing their code [...] We need to get more code out there, not improve how it looks.”
  • 22. code as a research object what’s needed to reuse ?
  • 23. code as a research object http://xkcd.com/285/
  • 24. “There’s greater reward, and more temptation to bend the rules.” - David Resnik, bioethicist
  • 25. (3)
  • 26. is open enough? what does it mean to “operate on/like the web”?
  • 27. “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.
  • 28. “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.
  • 29. we need to even (/ elevate) the playing field.
  • 30. facing a digital skills gap
  • 31. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.” - Selena Decklemann
  • 32. learn from open source (culture as well as technology)
  • 33. current activity: 130+ instructors (60+, training) 3700+ learners
  • 34. we need to build capacity, not just more nodes.
  • 35. instill best (digital, reproducible) practice “research hygiene”
  • 36. in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
  • 37. education as a means of building community ... globally, as well as across disciplines.
  • 38. (4)
  • 39. shifting practice (and getting it to stick) is challenging. ... but not impossible.
  • 40. disciplines as cultures
  • 41. 63 nations 10,000 scientists 50,000 participants can we do the same for research on the web?
  • 42. tools and technology cultural awareness, best practice connections, open dialogue skills training what are the necessary components?
  • 43. (5)
  • 44. operating in isolation doesn’t scale.
  • 45. coordination and collaboration are key. design for interoperability. remember the non-technical challenges.
  • 46. join us (and the conversation.) teach, contribute, learn. http://software-carpentry.org http://mozillascience.org
  • 47. questions? kaitlin@mozillafoundation.org @kaythaney ; @mozillascience