Making the Web work for science - SciTechLA
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Kaitlin Thaney discusses making science more open and reproducible through open web technologies. She defines open science as making the entire research process transparent by sharing hypotheses, protocols, data, and analysis. However, current research practices and systems do not fully support open science. Barriers include a lack of access to materials, difficulty publishing negative results, and the "digital skills gap" of many researchers. Promoting a culture of open source through training, community building, and interoperable standards and platforms can help shift practices towards more open and reproducible science at scale.
![“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.”](https://image.slidesharecdn.com/scitechlathaney-130929125656-phpapp01/85/Making-the-Web-work-for-science-SciTechLA-23-320.jpg)
Making the Web work for science - SciTechLA
- 1. kaitlin thaney @kaythaney ; @mozillascience scitechLA / 29 sept. 2013 making the web work for science
- 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. (1)
- 6. what is “open science”?
- 9. “... up to 70% of research from academic labs cannot be reproduced, representing an enormous waste of money and effort.” - Elizabeth Iorns, Science Exchange
- 10. our definition of “knowledge” is evolving. our systems need to follow.
- 11. research cycle idea experiment lit review materials publish share results retest analyze collect data
- 12. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
- 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
- 15. 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
- 16. Source: Michener, 2006 Ecoinformatics.
- 18. web as a platform participatory, enabling, open
- 19. (2)
- 20. our systems need to talk to one another. learn by doing. teach by showing.
- 23. “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.”
- 24. “There’s greater reward, and more temptation to bend the rules.” - David Resnik, bioethicist
- 27. (3)
- 28. shifting practice is hard. ... but not impossible.
- 31. 63 nations 10,000 scientists 50,000 participants can we do the same for open science?
- 32. (4)
- 33. we need to even (/ elevate) the playing field.
- 34. facing a digital skills gap
- 36. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.” - Selena Decklemann
- 40. learn from open source (culture as well as technology)
- 41. current activity: 135 instructors (30, training) 115 bootcamps 3500 learners
- 42. building capacity “train the trainer”
- 45. in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
- 46. (5)
- 47. operating in isolation doesn’t scale.
- 48. coordination and collaboration are key. design for interoperability. remember the non-technical challenges.
- 49. join us (and the conversation.) teach, host, learn. http://software-carpentry.org http://wiki.mozilla.org/ScienceLab