Making the web work for science - eResearch nz

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kaitlin thaney @kaythaney ; @mozillascience eResearch NZ / 2 july 2014 making the web work for science

description

Keynote for eResearch NZ conference at Waikato University

Transcript of Making the web work for science - eResearch nz

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kaitlin thaney@kaythaney ; @mozillascienceeResearch NZ / 2 july 2014

making the web work for science

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doing good is part of our code

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help researchers use the power of the open web to change science’s future.

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(0)

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science is still (largely) rooted in 17th c. practices.

(with more powerful horses)

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early forms of knowledge sharing

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our current systems are designed to create

friction.despite original intentions.

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we’re locked in old mechanisms.

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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

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existing system is imperfect

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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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power, performance, scale

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current state of science

articlesdata

patents

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some have a firehose

articlesdata

patents

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(1)

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leveraging the power of the web for scholarship

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- 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”

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emergence of new communities, practice

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research cycleidea

experiment

lit review

materials

publish

share resultsretest

analyze

collect data

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types of informationhypothesis/query

protocolsparameters

content

non-digital “stuff”

articlesproceedings

negative results

analysiscode

datasetsmodels

(added complexity)

prof activitiesmentorship

teaching activities

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blocking pointsidea

experiment

access

attaining materials

publish

share resultsretest

analyze

collect data

(to name a few ...)

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how to shift practice towards open?

routine

rewardcue

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Source: Michener, 2006 Ecoinformatics.

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wasted ...$$$time

resourceopportunity

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(2)

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looking beyond “open”is access enough?

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code(interop)

community(people)

code/data literacy(means to learn/engage)

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our systems need to talk to one another.

leveraging open technology, existing infrastructure.

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unpacking what the web can do for science

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code as a research objectwhat’s needed to reuse ?

http://bit.ly/mozfiggit

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code as a research object

http://xkcd.com/285/

http://bit.ly/mozfiggit

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(community driven)metadata for software discovery: JSON-LD

http://bit.ly/mozfiggit

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(3)

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our practices are limiting us.

how best move towards adoption?

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“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.

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“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.

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socialsoftwarehardware

infrastructure layers

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“the social infrastructure”

routine

rewardcue

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upping our digital literacy

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upping our digital literacy

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“Reliance on ad-hoc, self-

education about what’s

possible doesn’t scale.”

- Selena Decklemann

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current activity:130+ instructors

(60+, training)3700+ learners

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instill best (digital,

reproducible) practice

“research hygiene”

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building capacity locally(join us.)

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focus on building capacity, not just more nodes.

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shifting practice (and getting it to stick)

is challenging.... but not impossible.

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63 nations 10,000 scientists

50,000 participants

can we do the same for research on the web?

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tools and technologycultural awareness, best practice

connections, open dialogueskills training

what are the necessary components?

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Source: Piwowar, et al. PLOS.

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the future is here ... it’s just not evenly distributed.

- william gibson

““

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operating in isolation doesn’t scale.

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coordination is key.open as an accelerant.

build capacity, community.

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join us (and the conversation.)teach, contribute, learn.

http://software-carpentry.orghttp://mozillascience.org

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[email protected]@kaythaney ; @mozillascience

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