Building capacity for open, data-driven science - Grand Rounds

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kaitlin thaney@kaythaney ; @mozillasciencegrand rounds / 27 may 2015

building capacity for open, data-driven science

doing good is part of our code

help researchers leverage the power of the open web.

learning around open source, data sharing

needed to further open practice;empowering others to lead in

their communities.

code(interop)

community(people)

code/data literacy(means to learn/engage)

(0)

communicationaccess, reuse, scalecommunity-building

the web as a platform

power, performance, scale

our current systems are designed to create

friction.despite original intentions.

current state of science

articlesdata

patentspatients

some have a firehose

articlesdata

patentspatients

quality versus quantity measured systems

Source: Michener, 2006 Ecoinformatics.

“There’s greater reward, and more temptation to

bend the rules.”- David Resnik, bioethicist

(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 research”

research social capital capacity

infrastructure layers for efficient, reproducible research

open toolsstandards

best practicesresearch objectsscientific software

repositories

incentivesrecognition / P&Tinterdisciplinarity

collaborationcommunity dialogue

trainingmentorship

professional devnew policiesrecognition

stakeholders: universities, researchers, tool dev, funders, publishers, medical professionals ...

our models of discovery are rapidly evolving.

moving from the specialist to the adaptive generalist.

““

““

more data, more demand, higher understanding

http://www.bmj.com/content/350/bmj.g7785http://www.myopennotes.org/

wasted ...$$$time

resourceopportunity

(2)

learning from (+ through) open source

applying lessons from open source development to science

code as a research objectwhat’s needed to reuse ?

http://bit.ly/mozfiggit

open, iterative developmentthe “work in progress” effect

http://openresearchbadges.org/

(3)

how do we build capacity?furthering adoption of

open, data-driven science

fostering a (sustainable) community of practitioners

rewards, incentives, reputation

Source: Piwowar, et al. PLOS.

supports needed for“professional development”

“Reliance on ad-hoc, self-

education about what’s

possible doesn’t scale.”

- Selena Decklemann

resbaz.edu.au

next global sprint: june 4-5, 2015mozillascience.org/collaborate

in an increasingly digital, data-driven world, what core skills, tools

do the next-generation need?

lowering barriers to entry(+ leveling the playing field)

focus on building capacity, not just more nodes.

(4)

shifting practice (and getting it to stick)

is challenging.(takeaways and closing caveats.)

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, incentives

what are the necessary components?

coordination and collaboration are key.

design for interoperability.

remember the non-technical challenges.

we’re here to help.

http://mozillascience.orgsciencelab@mozillafoundation.org

kaitlin@mozillafoundation.org@kaythaney ; @mozillascience

special thanks: