building capacity for open, data-driven science - grand rounds
TRANSCRIPT
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.
““
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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
http://softwarediscoveryindex.org/report/
open, iterative developmentthe “work in progress” effect
http://mozillascience.org/contributorship-badges-a-new-project/
(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
https://mozillascience.github.io/studyGroupHandbook/
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.
