Making the web work for science - University of Queensland

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Making the web work for science - University of Queensland

  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

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