0
gateways for
open science
kaitlin thaney
@kaythaney ; @mozillascience
xsede conference / july 22, 2013
(0)
doing good is part of our code
help researchers use the
power of the open web to
change science’s future.
traditions last not because they are
excellent, but because influential
people are averse to change and
because of the shee...
(1)
gateways:
maximise scale
foster connectivity
minimise friction
our current systems are
designed to create
friction.
despite original intentions.
we’re locked in old mechanisms.
“... up to 70% of research from academic labs
cannot be reproduced, representing an enormous
waste of money and effort.”
-...
“There’s greater reward,
and more temptation to
bend the rules.”
- David Resnik, bioethicist
our definition of
“knowledge” is evolving.
our systems need to follow.
research cycle
idea
experiment
lit review
materials
publish
share results
retest
analyze
collect data
blocking points
idea
experiment
access
attaining
materials
publish
share results
retest
analyze
collect data
(to name a fe...
types of information
hypothesis/query
protocols
parameters
content
non-digital “stuff”
articles
proceedings
negative resul...
3 GB/year
9 GB/PhD
3 GB/year
30,000,000 GB/all*
9 GB/PhD
3 GB/year
* roughly
how much made available?
9 GB/PhD
3 GB/year
* roughly
30,000,000 GB/all*
Source: Michener, 2006 Ecoinformatics.
wasted ...
$$$
time
resource
opportunity
Source: Wolkovich et al. GCB 2012.
(2)
learn from open source
(culture as well as technology)
avoid reinventing
square wheels.
the best minds are usually
outside of your walls.
(3)
we need to build
capacity, not just
more nodes.
“Reliance on
ad-hoc, self-
education
about what’s
possible
doesn’t scale.”
instill best
(digital,
reproducible)
practice
“research hygiene”
license-like assessment
in an increasingly digital, data-
driven world, what core skills, tools
do the next-generation need?
(4)
we’re facing a
perception problem.
(but there’s hope.)
existing system is imperfect
we can/need to do better.
“Altmetrics” generally refers to tracking
online attention (esp. social media) data
to try and get an idea of the wider
im...
?
changing models of
authority, community
rethink how we reward
“digital research”
idea
protocols
parameters
content
non-digital “stuff”
articles
proceedings
negati...
Source: Piwowar, et al. PLOS.
(5)
we’re battling inertia and
flawed assumptions.
at network scale, you have
(and should want)
serendipity ... by design.
help us make the web
work for science.
questions?
kaitlin@mozillafoundation.org
@kaythaney ; @mozillascience
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
Gateways for Open Science - XSEDE
Upcoming SlideShare
Loading in...5
×

Gateways for Open Science - XSEDE

1,877

Published on

Published in: Technology, Education
0 Comments
3 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,877
On Slideshare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
9
Comments
0
Likes
3
Embeds 0
No embeds

No notes for slide

Transcript of "Gateways for Open Science - XSEDE"

  1. 1. gateways for open science kaitlin thaney @kaythaney ; @mozillascience xsede conference / july 22, 2013
  2. 2. (0)
  3. 3. doing good is part of our code
  4. 4. help researchers use the power of the open web to change science’s future.
  5. 5. traditions last not because they are excellent, but because influential people are averse to change and because of the sheer burdens of transition to a better state ... “ “ Cass Sunstein
  6. 6. (1)
  7. 7. gateways: maximise scale foster connectivity minimise friction
  8. 8. our current systems are designed to create friction. despite original intentions.
  9. 9. we’re locked in old mechanisms.
  10. 10. “... up to 70% of research from academic labs cannot be reproduced, representing an enormous waste of money and effort.” - Elizabeth Iorns, Science Exchange
  11. 11. “There’s greater reward, and more temptation to bend the rules.” - David Resnik, bioethicist
  12. 12. our definition of “knowledge” is evolving. our systems need to follow.
  13. 13. research cycle idea experiment lit review materials publish share results retest analyze collect data
  14. 14. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  15. 15. types of information hypothesis/query protocols parameters content non-digital “stuff” articles proceedings negative results analysis code datasets models (added complexity) prof activities mentorship teaching activities
  16. 16. 3 GB/year
  17. 17. 9 GB/PhD 3 GB/year
  18. 18. 30,000,000 GB/all* 9 GB/PhD 3 GB/year * roughly
  19. 19. how much made available? 9 GB/PhD 3 GB/year * roughly 30,000,000 GB/all*
  20. 20. Source: Michener, 2006 Ecoinformatics.
  21. 21. wasted ... $$$ time resource opportunity
  22. 22. Source: Wolkovich et al. GCB 2012.
  23. 23. (2)
  24. 24. learn from open source (culture as well as technology)
  25. 25. avoid reinventing square wheels. the best minds are usually outside of your walls.
  26. 26. (3)
  27. 27. we need to build capacity, not just more nodes.
  28. 28. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.”
  29. 29. instill best (digital, reproducible) practice “research hygiene”
  30. 30. license-like assessment
  31. 31. in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
  32. 32. (4)
  33. 33. we’re facing a perception problem. (but there’s hope.)
  34. 34. existing system is imperfect we can/need to do better.
  35. 35. “Altmetrics” generally refers to tracking online attention (esp. social media) data to try and get an idea of the wider impact of scholarly research.
  36. 36. ? changing models of authority, community
  37. 37. rethink how we reward “digital research” idea protocols parameters content non-digital “stuff” articles proceedings negative results analysis code datasets models prof activities mentorship teaching activities
  38. 38. Source: Piwowar, et al. PLOS.
  39. 39. (5)
  40. 40. we’re battling inertia and flawed assumptions.
  41. 41. at network scale, you have (and should want) serendipity ... by design.
  42. 42. help us make the web work for science.
  43. 43. questions? kaitlin@mozillafoundation.org @kaythaney ; @mozillascience
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×