kaitlin thaneymgr, external partnerships
xi. background
technology company   publisher link london, nyc, tokyo
1. science is changing
research                   idea     publish                   lit reviewshare results                   materials         ...
blocking points                (to name a few ... )                       idea     publish                      lit review...
text text   text
discovery &  delivery  content   data  materials
changes at the  workbenchknowledge exchangematerials, machines     ordering   automation
annotation &  curationmachine-readable   ontologies   metadata
social &administrative  P&T systems / funding        reputation      policy makingincentives / impact factor
gaps still exist
remainingroadblocksspecialisation of tools (+/-)      interoperability        accessibility     design decisions     the “...
efficient search     discoverabilityinformation management         analysis        incentives
2. focus areas
(3)
knowledge discoverysoftware applicationsresearch management
knowledge discoverysoftware applicationsresearch management
steps towards betterannotation and search
text text   text
can fine-tune
name disambiguation
10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one
knowledge discoverysoftware applicationsresearch management
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
better trackingis needed
knowledge discoverysoftware applicationsresearch management
data capture(of a different sort)
imperfect system
“Right now were going through a Cambrian explosion of metrics.”                       - Johan Bollen                  Natu...
in terms of sheer volume        and type
citation / impact factor              h - indexweighted citations (eigenfactor, sjr)     “betweenness centrality”         ...
difficult to ...     harmonise  track /maintain        reward(even still measure)
3. the business
investment arm incubator role  in-house dev
tiered approach    build to scaleresearcher-focused
RAE teams                         pharma                   startupstools developers                              content p...
RAE teams                         pharma                   startupstools developers                              content p...
4. our goal
software thatunderstands science
software thatunderstands scientists
more efficient researchincrease productivity    better science
thank you.k.thaney@digital-science.com   www.digital-science.com
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
Digital Science
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Digital Science

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An overview of Digital Science - a new company started out of Macmillan Publishers dedicated to making research more efficient through better use of technology.

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Digital Science

  1. 1. kaitlin thaneymgr, external partnerships
  2. 2. xi. background
  3. 3. technology company publisher link london, nyc, tokyo
  4. 4. 1. science is changing
  5. 5. research idea publish lit reviewshare results materials retest analyze experiment collect data
  6. 6. blocking points (to name a few ... ) idea publish lit reviewshare results materials retest analyze experiment collect data
  7. 7. text text text
  8. 8. discovery & delivery content data materials
  9. 9. changes at the workbenchknowledge exchangematerials, machines ordering automation
  10. 10. annotation & curationmachine-readable ontologies metadata
  11. 11. social &administrative P&T systems / funding reputation policy makingincentives / impact factor
  12. 12. gaps still exist
  13. 13. remainingroadblocksspecialisation of tools (+/-) interoperability accessibility design decisions the “social issue”
  14. 14. efficient search discoverabilityinformation management analysis incentives
  15. 15. 2. focus areas
  16. 16. (3)
  17. 17. knowledge discoverysoftware applicationsresearch management
  18. 18. knowledge discoverysoftware applicationsresearch management
  19. 19. steps towards betterannotation and search
  20. 20. text text text
  21. 21. can fine-tune
  22. 22. name disambiguation
  23. 23. 10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one
  24. 24. knowledge discoverysoftware applicationsresearch management
  25. 25. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  26. 26. better trackingis needed
  27. 27. knowledge discoverysoftware applicationsresearch management
  28. 28. data capture(of a different sort)
  29. 29. imperfect system
  30. 30. “Right now were going through a Cambrian explosion of metrics.” - Johan Bollen Nature 465, 864-866 (2010) | doi:10.1038/465864a
  31. 31. in terms of sheer volume and type
  32. 32. citation / impact factor h - indexweighted citations (eigenfactor, sjr) “betweenness centrality” alt-metrics, etc.
  33. 33. difficult to ... harmonise track /maintain reward(even still measure)
  34. 34. 3. the business
  35. 35. investment arm incubator role in-house dev
  36. 36. tiered approach build to scaleresearcher-focused
  37. 37. RAE teams pharma startupstools developers content providerspartners/collaborators big business funding agenciesresearchers grant officers administrators
  38. 38. RAE teams pharma startupstools developers content providers work with us big business funding agenciesresearchers grant officers administrators
  39. 39. 4. our goal
  40. 40. software thatunderstands science
  41. 41. software thatunderstands scientists
  42. 42. more efficient researchincrease productivity better science
  43. 43. thank you.k.thaney@digital-science.com www.digital-science.com

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