the future of  digital science      kaitlin thaney       @kaythaneyworld science forum, 17 nov 2011
(1)by way of background
(we’re a tools company)
investment arm incubator role  in-house dev
tiered approach    build to scaleresearcher-focused
(2)the move to digital
science is changing
science is changing  (and the research workflow)
research                   idea     publish                   lit reviewshare results                   materials         ...
blocking points                (to name a few ... )                       idea     publish                      lit review...
types of information                (will revisit later)                       idea     articles                          ...
text text   text
(3)our approach(and some examples)
machines  researchersdecision makers
sifting problem
specific DBs no better (in this case, likely worse)
naming issue
machines  researchersdecision makers
mix of digital and analog mediumsCC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
the non-digital
the non-digital parameters
the non-digital    about
trackingexpirationcalibration
feedback, visibility, etc.
machines  researchersdecision makers
how we measureimpact, reputation etc.
imperfect system
technology can helpcoordinate where feasible   reduce duplication
thank you.k.thaney@digital-science.com   www.digital-science.com
The Future of Digital Science - World Science Forum 2011
The Future of Digital Science - World Science Forum 2011
The Future of Digital Science - World Science Forum 2011
The Future of Digital Science - World Science Forum 2011
The Future of Digital Science - World Science Forum 2011
The Future of Digital Science - World Science Forum 2011
The Future of Digital Science - World Science Forum 2011
The Future of Digital Science - World Science Forum 2011
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The Future of Digital Science - World Science Forum 2011

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The Future of Digital Science - World Science Forum 2011

  1. 1. the future of digital science kaitlin thaney @kaythaneyworld science forum, 17 nov 2011
  2. 2. (1)by way of background
  3. 3. (we’re a tools company)
  4. 4. investment arm incubator role in-house dev
  5. 5. tiered approach build to scaleresearcher-focused
  6. 6. (2)the move to digital
  7. 7. science is changing
  8. 8. science is changing (and the research workflow)
  9. 9. research idea publish lit reviewshare results materials retest analyze experiment collect data
  10. 10. blocking points (to name a few ... ) idea publish lit reviewshare results materials retest analyze experiment collect data
  11. 11. 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
  12. 12. text text text
  13. 13. (3)our approach(and some examples)
  14. 14. machines researchersdecision makers
  15. 15. sifting problem
  16. 16. specific DBs no better (in this case, likely worse)
  17. 17. naming issue
  18. 18. machines researchersdecision makers
  19. 19. mix of digital and analog mediumsCC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  20. 20. the non-digital
  21. 21. the non-digital parameters
  22. 22. the non-digital about
  23. 23. trackingexpirationcalibration
  24. 24. feedback, visibility, etc.
  25. 25. machines researchersdecision makers
  26. 26. how we measureimpact, reputation etc.
  27. 27. imperfect system
  28. 28. technology can helpcoordinate where feasible reduce duplication
  29. 29. thank you.k.thaney@digital-science.com www.digital-science.com
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