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Policy Lunchbox - Digital Science

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  • 1. digital science and thefuture of online research kaitlin thaney policy lunchbox, 3 aug 2011 charles darwin house, london
  • 2. xi. background
  • 3. technology company publisher link london, nyc, tokyo
  • 4. investment arm incubator role in-house dev
  • 5. tiered approach build to scaleresearcher-focused
  • 6. 1. science is changing
  • 7. 1. science is changing (and the research workflow)
  • 8. research idea publish lit reviewshare results materials retest analyze experiment collect data
  • 9. blocking points (to name a few ... ) idea publish lit reviewshare results materials retest analyze experiment collect data
  • 10. types of information (will revisit later) idea articles content proceedings prof activities mentorship patentsshare results the non-digital “stuff” retest analysis protocols synthesis parameters datasets
  • 11. text text text
  • 12. roadblocks (to name a few) ...specialisation of tools (+/-) interoperability accessibility design decisions the “social issue”
  • 13. 2. key constituencies
  • 14. (3)
  • 15. machines researchersdecision makers
  • 16. machines researchersdecision makers
  • 17. ...annotation markup search discovery“behind the scenes” ...
  • 18. still the starting point
  • 19. patents are no better (in many cases, worse)
  • 20. can streamline
  • 21. name disambiguation
  • 22. 10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one (still strains the minds of the best)
  • 23. machines researchersdecision makers
  • 24. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • 25. trackingexpiration
  • 26. ordering + processingthe non-digital
  • 27. protocolsparameterscalibration misc. lit
  • 28. managing information different types of “data”
  • 29. “i invented a folder based system ...”
  • 30. “i invented a folder based system ...”“yeah, we had a LIMS. it onlyever got used to store photos from lab nights out.”
  • 31. why?experimentation reliancedata moves, grows legsfunder/instit’n pressure
  • 32. machines researchersdecision makers
  • 33. how we measureimpact, reputation etc.
  • 34. data capture(of a different sort)
  • 35. the “social issue” best practices behaviour roadblocksdiscipline / researcher specific
  • 36. paper’s still the currency
  • 37. imperfect system
  • 38. “Right now were going through a Cambrian explosion of metrics.” - Johan Bollen Nature 465, 864-866 (2010) | doi:10.1038/465864a
  • 39. there’s been a drastic spike in terms of sheer volume and type
  • 40. citation / impact factor h - indexweighted citations (eigenfactor, sjr) “betweenness centrality” alt-metrics, etc.
  • 41. difficult to ... harmonisetrack /maintain / map understand (even still measure)
  • 42. tools for decision makers(research admin / funders) using technology to spur cultural shift
  • 43. “ what do we wanton the back of our(science) baseball Top Trumps cards? “ - paul groth (et al.)
  • 44. 3. the reality
  • 45. “the future is here ... just not evenly distributed yet.” - William Gibson
  • 46. changingunderstandings, paradigms
  • 47. technology can helpdesign decisions are key plan for the irrational
  • 48. more efficient researchincrease productivityenable reproducibility
  • 49. thank you.k.thaney@digital-science.com www.digital-science.com @kaythaney

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