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Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
Astroinformatics 2011
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Astroinformatics 2011

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Given at Astroinformatics

Given at Astroinformatics

Published in: Technology, Education
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Transcript

  • 1. tools for digital research kaitlin thaney @kaythaneyastroinformatics, 27 sep 2011
  • 2. a few knowns,by way of background
  • 3. (not an astronomer)
  • 4. “... now old enough to legally drink ...” - perry greenfield
  • 5. my knowledge
  • 6. sciencehas long beendata intensive
  • 7. changes:volume / scale complexity “hammers” ...
  • 8. text text text
  • 9. gaps still exist
  • 10. we’re a tools company
  • 11. technology company publisher link london, nyc, tokyo
  • 12. investincubate develop
  • 13. tiered approach build to scaleresearcher-focused
  • 14. (3)
  • 15. machines researchersdecision makers
  • 16. machines researchersdecision makers
  • 17. “All truths are easy tounderstand once they are discovered; the point is todiscover them.”
  • 18. knowledge discovery
  • 19. knowledge discovery(an example in chemistry)
  • 20. still the starting point
  • 21. patents are no better (in many cases, worse)
  • 22. can streamline
  • 23. name disambiguation
  • 24. 10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one (still strains the minds of the best)
  • 25. machine readability discoverability annotation (even search)
  • 26. machines researchersdecision makers
  • 27. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • 28. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • 29. trackingexpirationcalibration
  • 30. protocolsparameterscalibration misc. lit
  • 31. still issues with management(we’re human after all)
  • 32. “i invented a folder based system ...”
  • 33. “i invented a folder based system ...”“yeah, we had a LIMS. it onlyever got used to store photos from lab nights out.”
  • 34. feedback, visibility, etc.
  • 35. sharing informationstill hits most’s mental block
  • 36. on the horizon ...
  • 37. machines researchersdecision makers
  • 38. rewards, incentives the “ why ”
  • 39. “the future is here ... just not evenly distributed yet.” - William Gibson
  • 40. problems aren’t as new or novelas you may think
  • 41. technology can helpcoordinate where feasible reduce duplication
  • 42. more efficient researchincrease productivityenable reproducibility
  • 43. thank you.kaitlin@digital-science.com www.digital-science.com @kaythaney

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