Gateways for Open Science - XSEDE

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.

(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