The document outlines a technology company's focus on enhancing scientific research through improved knowledge discovery and research management software applications. It highlights the need for better tools to address existing inefficiencies in data capture, citation metrics, and collaboration within the scientific community. The ultimate goal is to develop software that better understands scientific needs, thereby increasing research productivity and efficacy.

1. kaitlin thaney
mgr, external partnerships

2. xi. background

3. technology company
publisher link
london, nyc, tokyo

4. 1. science is changing

6. research
idea
publish lit review
share results materials
retest
analyze experiment
collect data

7. blocking points
(to name a few ... )
idea
publish lit review
share results materials
retest
analyze experiment
collect data

8. text text
text

9. discovery &
delivery
content
data
materials

10. changes at the
workbench
knowledge exchange
materials, machines
ordering
automation

11. annotation &
curation
machine-readable
ontologies
metadata

12. social &
administrative
P&T systems / funding
reputation
policy making
incentives / impact factor

13. gaps still exist

14. remaining
roadblocks
specialisation of tools (+/-)
interoperability
accessibility
design decisions
the “social issue”

15. efficient search
discoverability
information management
analysis
incentives

16. 2. focus areas

17. (3)

18. knowledge discovery
software applications
research management

19. knowledge discovery
software applications
research management

20. steps towards better
annotation and search

28. text text
text

29. can fine-tune

30. name disambiguation

31. 10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one

32. knowledge discovery
software applications
research management

33. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/

35. better
tracking
is needed

39. knowledge discovery
software applications
research management

40. data capture
(of a different sort)

41. imperfect system

42. “Right now we're going through a
Cambrian explosion of metrics.”
- Johan Bollen
Nature 465, 864-866 (2010) | doi:10.1038/465864a

43. in terms of sheer volume
and type

44. citation / impact factor
h - index
weighted citations (eigenfactor, sjr)
“betweenness centrality”
alt-metrics, etc.

45. difficult to ...
harmonise
track /maintain
reward
(even still measure)

49. 3. the business

50. investment arm
incubator role
in-house dev

51. tiered approach
build to scale
researcher-focused

52. RAE teams pharma
startups
tools developers
content providers
partners/collaborators
big business
funding agencies
researchers
grant officers administrators

53. RAE teams pharma
startups
tools developers
content providers
work with us
big business
funding agencies
researchers
grant officers administrators

54. 4. our goal

55. software that
understands science

56. software that
understands scientists

57. more efficient research
increase productivity
better science

58. thank you.
k.thaney@digital-science.com
www.digital-science.com