Making the web work for science - eResearch nz
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Transcript of Making the web work for science - eResearch nz
kaitlin thaney@kaythaney ; @mozillascienceeResearch NZ / 2 july 2014
making the web work for science
doing good is part of our code
help researchers use the power of the open web to change science’s future.
(0)
science is still (largely) rooted in 17th c. practices.
(with more powerful horses)
early forms of knowledge sharing
our current systems are designed to create
friction.despite original intentions.
we’re locked in old mechanisms.
What Des-Cartes did was a good step. You have added much several ways, &
especially in taking ye colours of thin plates into philosophical consideration.
If I have seen further it is by standing on ye shoulders of Giants.
- Isaac Newton, 1676
“
“
existing system is imperfect
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
power, performance, scale
current state of science
articlesdata
patents
some have a firehose
articlesdata
patents
(1)
leveraging the power of the web for scholarship
- access to content, data, code, materials.- emergence of “web-native” tools.- rewards for openness, interop, collaboration, sharing.- push for ROI, reuse, recomputability, transparency.
“web-enabled science”
emergence of new communities, practice
research cycleidea
experiment
lit review
materials
publish
share resultsretest
analyze
collect data
types of informationhypothesis/query
protocolsparameters
content
non-digital “stuff”
articlesproceedings
negative results
analysiscode
datasetsmodels
(added complexity)
prof activitiesmentorship
teaching activities
blocking pointsidea
experiment
access
attaining materials
publish
share resultsretest
analyze
collect data
(to name a few ...)
how to shift practice towards open?
routine
rewardcue
Source: Michener, 2006 Ecoinformatics.
Source: Wolkovich et al. GCB 2012.
wasted ...$$$time
resourceopportunity
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looking beyond “open”is access enough?
code(interop)
community(people)
code/data literacy(means to learn/engage)
our systems need to talk to one another.
leveraging open technology, existing infrastructure.
unpacking what the web can do for science
code as a research objectwhat’s needed to reuse ?
http://bit.ly/mozfiggit
code as a research object
http://xkcd.com/285/
http://bit.ly/mozfiggit
(community driven)metadata for software discovery: JSON-LD
http://bit.ly/mozfiggit
(3)
our practices are limiting us.
how best move towards adoption?
“web-enabled science”- access to content, data, code, materials.- emergence of “web-native” tools.- rewards for openness, interop, collaboration, sharing.- push for ROI, reuse, recomputability, transparency.
“web-enabled science”what’s missing?
- access to content, data, code, materials.- emergence of “web-native” tools.- rewards for openness, interop, collaboration, sharing.- push for ROI, reuse, recomputability, transparency.
socialsoftwarehardware
infrastructure layers
“the social infrastructure”
routine
rewardcue
upping our digital literacy
upping our digital literacy
“Reliance on ad-hoc, self-
education about what’s
possible doesn’t scale.”
- Selena Decklemann
current activity:130+ instructors
(60+, training)3700+ learners
instill best (digital,
reproducible) practice
“research hygiene”
building capacity locally(join us.)
focus on building capacity, not just more nodes.
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shifting practice (and getting it to stick)
is challenging.... but not impossible.
63 nations 10,000 scientists
50,000 participants
can we do the same for research on the web?
tools and technologycultural awareness, best practice
connections, open dialogueskills training
what are the necessary components?
Source: Piwowar, et al. PLOS.
(5)
the future is here ... it’s just not evenly distributed.
- william gibson
““
operating in isolation doesn’t scale.
coordination is key.open as an accelerant.
build capacity, community.
join us (and the conversation.)teach, contribute, learn.
http://software-carpentry.orghttp://mozillascience.org
[email protected]@kaythaney ; @mozillascience
special thanks: