kaitlin thaney
@kaythaney ; @mozillascience
colorado state / 07 may 2015
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.
learning around
open source, data sharing
needed to further open practice;
empowering others to lead in
their communities.
learning around
open source, data sharing:
sprints, collaborate, study groups
empowering others:
fellowships, mentorship, resbaz
(0)
our current systems are
designed to create
friction.
despite original intentions.
current state of science
articles
data
patents
some have a firehose
articles
data
patents
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
downside of output-driven
recognition systems
“There’s greater reward,
and more temptation to
bend the rules.”
- David Resnik, bioethicist
(1)
leveraging the power of
the web for scholarship
leveraging the power of
the web for scholarship
(if we’re lucky...)
power, performance, scale
- access to content, data, code, materials.
- distributed work environments, participatory.
- emergence of “web-native” tools, efficiency.
- rewards for openness, interop, collaboration, sharing.
- reuse, recomputability, transparency.
“web-enabled research”
how this
maps to research
community technology practices
collaborative interoperable open review
participatory discoverable
data
management
recognition open tools sharing / reuse
mentorship
designed for
reuse
documentation /
versioning
(2)
learning from (+ through)
open source
applying lessons from open source
development to science
open, iterative
development
the “work in progress” effect
code as a research object
what’s needed to reuse ?
http://bit.ly/mozfiggit
(community driven)
metadata for software discovery: JSON-LD
http://bit.ly/mozfiggit
http://softwarediscoveryindex.org/report/
http://mozillascience.org/contributorship-badges-a-new-project/
http://www.mozillascience.org/collaborate
(3)
our practices are
limiting us.
how to further adoption of
open, web-enabled science?
research social capital capacity
infrastructure layers for
efficient, reproducible research
open tools
standards
best practices
research objects
scientific software
repositories
incentives
recognition / P&T
interdisciplinarity
collaboration
community dialogue
training
mentorship
professional dev
new policies
recognition
stakeholders: universities, researchers,
tool dev, funders, publishers ...
fostering a (sustainable)
community of practitioners
supports needed for
“professional development”
https://mozillascience.github.io/studyGroupHandbook/
working within the reward system.
http://openresearchbadges.org/
resbaz.edu.au
next global sprint: june 4-5, 2015
mozillascience.org/collaborate
lowering barriers to entry
(not expectations)
focus on building capacity,
not just more nodes.
(4)
shifting practice
(and getting it to stick)
is challenging.
open science’s collective action problem.
63 nations
10,000 scientists
50,000 participants
can we do the same
for research on the web?
1. bake reproducible
practices into the fabric of
research.
2. design to unlock latent
potential of our systems.
(most of the technology is already there.)
3. rethink how we reward
researchers and support
roles.
(and don’t be afraid to hit refresh.)
4. use cases as means to
show potential, sell trust
and drive adoption.
we’re here to help.
http://mozillascience.org
sciencelab@mozillafoundation.org
kaitlin@mozillafoundation.org
@kaythaney ; @mozillascience
special thanks:

National Data Integrity Conference - Making the web work for science