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Making the web work for science - eResearch nz
1) The document discusses how current scientific practices are outdated and designed to create friction, limiting access to information and collaboration. 2) It argues that leveraging the power of the open web through tools, data sharing, and interoperability could help advance science by improving access, reuse of resources, and transparency. 3) However, changing practices and building an open, collaborative culture also requires training researchers in digital skills and establishing social infrastructure to encourage openness and reward sharing.
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Making the web work for science - eResearch nz
- 1. kaitlin thaney @kaythaney ;@mozillascience eResearch NZ / 2 july 2014 making the web work for science
- 2. doing good ispart of our code
- 3. help researchers usethe power of the open web to change science’s future.
- 4.
- 5. science is still(largely) rooted in 17th c. practices. (with more powerful horses)
- 6. early forms ofknowledge sharing
- 7. our current systemsare designed to create friction. despite original intentions.
- 8. we’re locked inold mechanisms.
- 9. What Des-Cartes didwas 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 isimperfect
- 11. traditions last notbecause 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
- 13.
- 15. current state ofscience articles data patents
- 16. some have afirehose articles data patents
- 17.
- 18. leveraging the powerof the web for scholarship
- 19. - access tocontent, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency. “web-enabled science”
- 20. emergence of new communities,practice
- 21. research cycle idea experiment lit review materials publish shareresults retest analyze collect data
- 22. 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
- 23.
- 24. how to shiftpractice towards open? routine rewardcue
- 25. Source: Michener, 2006Ecoinformatics.
- 26. Source: Wolkovich etal. GCB 2012.
- 27.
- 28.
- 29. looking beyond “open” isaccess enough?
- 30.
- 31. our systems needto talk to one another. leveraging open technology, existing infrastructure.
- 32. unpacking what theweb can do for science
- 35. code as aresearch object what’s needed to reuse ? http://bit.ly/mozfiggit
- 36. code as aresearch object http://xkcd.com/285/ http://bit.ly/mozfiggit
- 40. (community driven) metadata forsoftware discovery: JSON-LD http://bit.ly/mozfiggit
- 45.
- 46. our practices are limitingus. how best move towards adoption?
- 48. “web-enabled science” - accessto content, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency.
- 49. “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.
- 50.
- 51.
- 52. upping our digitalliteracy
- 53. upping our digitalliteracy
- 54. “Reliance on ad-hoc, self- education aboutwhat’s possible doesn’t scale.” - Selena Decklemann
- 57. current activity: 130+ instructors (60+,training) 3700+ learners
- 58.
- 59.
- 60. focus on buildingcapacity, not just more nodes.
- 62.
- 63. shifting practice (and gettingit to stick) is challenging. ... but not impossible.
- 65. 63 nations 10,000 scientists 50,000participants can we do the same for research on the web?
- 66. tools and technology culturalawareness, best practice connections, open dialogue skills training what are the necessary components?
- 67. Source: Piwowar, etal. PLOS.
- 68.
- 69. the future ishere ... it’s just not evenly distributed. - william gibson “ “
- 70.
- 71. coordination is key. openas an accelerant. build capacity, community.
- 72. join us (and theconversation.) teach, contribute, learn. http://software-carpentry.org http://mozillascience.org
- 73.