1. the future of
digital science
kaitlin thaney
@kaythaney
world science forum, 17 nov 2011

2. (1)
by way of background

3. (we’re a tools company)

5. investment arm
incubator role
in-house dev

6. tiered approach
build to scale
researcher-focused

7. (2)
the move to digital

8. science is changing

9. science is changing
(and the research workflow)

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

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

12. types of information
(will revisit later)
idea
articles
content
proceedings prof activities
mentorship
patents
share results the non-digital “stuff”
retest
analysis protocols
synthesis parameters
datasets

13. text text
text

15. (3)
our approach
(and some examples)

16. machines
researchers
decision makers

17. sifting problem

18. specific DBs no better
(in this case, likely worse)

19. naming issue

20. machines
researchers
decision makers

21. mix of digital and
analog mediums
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/

22. the non-digital

23. the non-digital
parameters

24. the non-digital
about

25. tracking
expiration
calibration

28. feedback, visibility, etc.

33. machines
researchers
decision makers

34. how we measure
impact, reputation etc.

35. imperfect system

36. technology can help
coordinate where feasible
reduce duplication

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