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Discoverability and Web-Enabled Science - #ScholarAfrica
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Discoverability and Web-Enabled Science - #ScholarAfrica

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Presentation as part of the Discoverability of African Scholarship workshop in Nairobi, March 10-11.

Presentation as part of the Discoverability of African Scholarship workshop in Nairobi, March 10-11.

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  • 1. kaitlin thaney @kaythaney ; @mozillascience #scholarAfrica, nairobi / 10 march 2014 discoverability and web-enabled research
  • 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. discoverability what the web offers role of data, sharing challenges around “open”
  • 6. (1)
  • 7. research cycle idea experiment lit review materials publish share results retest analyze collect data
  • 8. 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
  • 9. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  • 10. discoverability: ability to access (but also to reuse, disseminate)
  • 11. technical needs metadata standards discoverability services dissemination platforms APIs, tagging
  • 12. rewards, incentives, reputation
  • 13. (2)
  • 14. leveraging the power of the web for scholarship
  • 15. - 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”
  • 16. wasted ... $$$ time opportunity
  • 17. communication access, reuse, scale community-building the web as a platform
  • 18. early forms of knowledge sharing
  • 19. emergence of new communities, practice
  • 20. broader access, engagement, reach
  • 21. there’s still friction in the system. and duplication out of frustration.
  • 22. 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
  • 23. our systems need to talk to one another. both human and machine, globally.
  • 24. (3)
  • 25. thinking beyond the PDF. role of data, code, methods.
  • 26. 3 GB/year
  • 27. 9 GB/PhD 3 GB/year
  • 28. 30,000,000 GB/all* 9 GB/PhD 3 GB/year * roughly
  • 29. how much made available? 9 GB/PhD 3 GB/year * roughly 30,000,000 GB/all*
  • 30. Source: Michener, 2006 Ecoinformatics.
  • 31. code as a research object what’s needed to reuse ?
  • 32. Source: Piwowar, et al. PLOS.
  • 33. (4)
  • 34. is open enough? necessary but not sufficient.
  • 35. access versus deluge how to reconcile?
  • 36. our systems need to talk to one another.
  • 37. we also need to build capacity.
  • 38. digital literacy
  • 39. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.” - Selena Decklemann
  • 40. education as a means of building community ... globally, as well as across disciplines.
  • 41. current activity: 129 instructors (60+, training) 109 bootcamps 3700+ learners
  • 42. in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
  • 43. (5)
  • 44. shifting practice (and getting it to stick) is challenging. and we’re here to help.
  • 45. tools and technology cultural awareness, best practice connections, open dialogue skills training what are the necessary components?
  • 46. coordination and collaboration are key. design for interoperability. remember the non-technical challenges.
  • 47. operating in isolation doesn’t scale.
  • 48. help shape the conversation. teach, contribute, learn. http://software-carpentry.org http://mozillascience.org
  • 49. questions? kaitlin@mozillafoundation.org @kaythaney ; @mozillascience