gateways for open science - xsede
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gateways for open science
kaitlin thaney@kaythaney ; @mozillascience
xsede conference / july 22, 2013
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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 sheer burdens of
transition to a better state ...
“
“Cass Sunstein
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gateways: maximise scale
foster connectivityminimise 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.”- Elizabeth Iorns, Science Exchange
“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 cycleidea
experiment
lit review
materials
publish
share resultsretest
analyze
collect data
blocking pointsidea
experiment
access
attaining materials
publish
share resultsretest
analyze
collect data
(to name a few ...)
types of informationhypothesis/query
protocolsparameters
content
non-digital “stuff”
articlesproceedings
negative results
analysiscode
datasetsmodels
(added complexity)
prof activitiesmentorship
teaching activities
3 GB/year
9 GB/PhD3 GB/year
30,000,000 GB/all*9 GB/PhD3 GB/year
* roughly
how much made available?
9 GB/PhD3 GB/year
* roughly
30,000,000 GB/all*
Source: Michener, 2006 Ecoinformatics.
wasted ...$$$time
resourceopportunity
Source: Wolkovich et al. GCB 2012.
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learn from open source(culture as well as technology)
avoid reinventing square wheels.the best minds are usually
outside of your walls.
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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?
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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 impact of scholarly research.
?
changing models of authority, community
rethink how we reward “digital research”
idea
protocolsparameters
content
non-digital “stuff”
articlesproceedings
negative results
analysiscode
datasetsmodels
prof activitiesmentorship
teaching activities
Source: Piwowar, et al. PLOS.
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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.
