open science workshop recap - bmir research colloquium
Post on 21-Oct-2014
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Recap of the PSB 2009 Open Science workshop, given at the Biomedical Informatics Research group weekly colloquium, 1/15/2009TRANSCRIPT
The Open Science Workshop at PSB 2009
A recap by Shirley WuBMIR RIP 1/15/09
2 hours of talks + 1 hour discussion
Phil BourneDrew Endy
Larry HunterRuss Altman
Steven Brenner
Style, text, photos borrowed from Cameron Neylon
If you couldn’t make it...
If you couldn’t make it...
http://tinyurl.com/psb09-openscience
Microblogging
Slides
Webcasts
What is it?
Why should I care?
“Open Science?”
http://flickr.com/photos/good-karma/710068054/
“Open Science?”
http://flickr.com/photos/good-karma/710068054/
The movement that advocates making changes to the research process that make more of the outputs of research accessible in an effective and timely way
more stuff, more available, more quickly
If a million post-docs repeat a million experiments...
http://flickr.com/photos/heymans/480396810/
... and 25% of those don’t work...
http://flickr.com/photos/cliche/120070310/
... how much taxpayers’ money is that?
http://flickr.com/photos/luismimunoznajar/2093185804/
Make research more...
efficienteffectiveaccessible
http://flickr.com/photos/luismimunoznajar/2093185804/
“We argue in good faith from shared evidence to shared conclusions.”
- Lee Smolin
“I never had an idea that couldn’t be improved by sharing it with as many people as possible…”
- Bill Hooker
Idea
Develop
Fund
Plan
Record
Process
Publish
Read
Idea
Develop
Fund
Plan
Record
Process
Publish
Read
IdeaDevelop
Fund
Process
Record
PlanFund
Develop
Idea
Develop
Fund
Plan
Record
Process
Publish
Read
Idea
Read
Publi
shPr
oces
s
Reco
rd
Plan
Fund
Develo
p
IdeaDevelop
Fund
Process
Record
PlanFund
Develop
Idea
Develop
Fund
Plan
Record
Process
Publish
Read
Idea
Read
Publi
shPr
oces
s
Reco
rd
Plan
Fund
Develo
p
IdeaDevelop
Fund
Process
Record
PlanFund
Develop
Idea
Develop
Fund
Plan
Record
Process
Publish
Read
Web 2.0
http://flickr.com/photos/virtualsugar/316200555/
ProtocolsExperimental record DataLiterature
http://flickr.com/photos/65068167@N00/158070855
http://flickr.com/photos/65068167@N00/158070855 http://flickr.com/photos/zanotti/314391903/
Workshop agenda
• Identify challenges and next steps for Open Science
• Discuss:• Current approaches and practice• Development of tools• Socio-cultural issues
Keynote: Phil BourneOpen Science:
One Person’s View and What We Are Doing About It
The research contract is changing
The relationship between scientist and publisher will be different
Keynote: Phil BourneOpen Science:
One Person’s View and What We Are Doing About It
What’s missing?
• Seamless integration between data and publications• Seamless integration of the authoring and publishing
process• Association of publications with multimedia• Professional networking akin to social networking
Keynote: Phil BourneOpen Science:
One Person’s View and What We Are Doing About It
Keynote: Phil BourneOpen Science:
One Person’s View and What We Are Doing About It
Tool developmentDavid de Roure
The myExperiment approach towards open science
Tool developmentNigam Shah
How bio-ontologies enable open science
Open science requires structured content
Generation of structured content requires automated and collaborative curation
NCBO provides services that address these needs:Ontology servicesAnnotator servicesData services
Social issuesCF Quo
Community annotation in translational bioinformatics:
lessons from Wikipedia
Picture by Hay Kranen
Social issuesCF Quo
Community annotation in translational bioinformatics:
lessons from Wikipedia
Few users, many edits
Many users, few edits
Picture by Hay Kranen
Social issuesCF Quo
Community annotation in translational bioinformatics:
lessons from Wikipedia
If 0.01% of users contribute...
Picture by Hay Kranen
Social issuesCF Quo
Community annotation in translational bioinformatics:
lessons from Wikipedia
Picture by Hay Kranen
Social issuesCF Quo
Community annotation in translational bioinformatics:
lessons from Wikipedia
... you need millions of users
Picture by Hay Kranen
Social issuesHeather Piwowar
Measuring the adoption of open science sharing data
How much is shared, not shared? Who is sharing and who isn’t? Why do people share or not share?
Social issuesHeather Piwowar
Measuring the adoption of open science sharing data
40% said data sharing was discouraged during their training
80% said sharing was too much effort
Obstacles are publishing, control, and cost
Social issuesHeather Piwowar
Measuring the adoption of open science sharing data
Benefits are personal as well as societal
People will share if they think it really helps others
It would be easier if there was more help, better tools and guidelines
Main themes
“If you build it, they won’t come.”- Sean Mooney
The design of tools cannot be divorced from the cultural and social issues that surround them
Community building is just as important as tool building
Need active conversation between users and builders
Main themes
“You cannot manage what you cannot measure.”- Lord Kelvin
Does any of this actually provide benefits, and if so, to whom?
What is the return on investment?
Without this it is difficult to convince anyone of anything
http://www.flickr.com/photos/gaetanlee/2792436526/
Tools?
Specific tools are required (persistent identity, good repository systems)
Build the service and the community
http://flickr.com/photos/amrufm/2351316712/
Policy?
Standards and methods of citation are at the core of good science
Focus on specific actions with measurable outcomes
Identify successes (and celebrate), identify failures (and learn)
http://flickr.com/photos/luismimunoznajar/2093185804/
Funding?
Infrastructure
Research on research
Improving the research process is an area for (experimental) research
that requires the same rigour, standards, and funding as anything else that we do
http://tinyurl.com/psb09-openscience