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Open science workshop recap - BMIR research colloquium
- 1. The Open Science Workshop at PSB 2009 A recap by Shirley Wu BMIR RIP 1/15/09
- 2. 2 hours of talks + 1 hour discussion Phil Bourne Drew Endy Larry Hunter Russ Altman Steven Brenner Style, text, photos borrowed from Cameron Neylon
- 3. If you couldn’t make it...
- 4. If you couldn’t make it... Microblogging Slides Webcasts http://tinyurl.com/psb09-openscience
- 5. “Open Science?” What is it? Why should I care? http://flickr.com/photos/good-karma/710068054/
- 6. “Open Science?” 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 http://flickr.com/photos/good-karma/710068054/
- 7. If a million post-docs repeat a million experiments... http://flickr.com/photos/heymans/480396810/
- 8. ... and 25% of those don’t work... http://flickr.com/photos/cliche/120070310/
- 9. ... how much taxpayers’ money is that? http://flickr.com/photos/luismimunoznajar/2093185804/
- 10. Make research more... efficient effective accessible http://flickr.com/photos/luismimunoznajar/2093185804/
- 11. “We argue in good faith from shared evidence to shared conclusions.” - Lee Smolin
- 12. “I never had an idea that couldn’t be improved by sharing it with as many people as possible…” - Bill Hooker
- 13. Idea Develop Read Publish Fund Process Plan Record
- 14. Idea Develop Read Publish Fund Process Plan Record
- 15. D ev elo p Fu Id nd ea Idea D Develop Read Pl ev an elo p Re Publish Fund Fu co nd rd Pr oc e ss Process Plan Record
- 16. ad D ev Re elo sh p bli Fu ea Id Pu nd Id ea Idea s es p D oc elo Develop Read Pl ev Pr an elo ev D p rd Re co nd Publish Fund Fu co Re Fu nd rd Pr an oc Pl e ss Process Plan Record
- 17. ad D ev Re elo sh p bli Fu ea Id Pu nd Id ea Idea s es p D oc elo Develop Read Pl ev Pr an elo ev D p rd Re co nd Publish Fund Fu co Re Fu nd rd Pr an oc Pl e ss Process Plan Record Web 2.0
- 18. Protocols Experimental record Data Literature http://flickr.com/photos/virtualsugar/316200555/
- 21. Workshop agenda • Identify challenges and next steps for Open Science • Discuss: • Current approaches and practice • Development of tools • Socio-cultural issues
- 22. Keynote: Phil Bourne Open 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
- 23. Keynote: Phil Bourne Open 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
- 24. Keynote: Phil Bourne Open Science: One Person’s View and What We Are Doing About It
- 25. Keynote: Phil Bourne Open Science: One Person’s View and What We Are Doing About It
- 26. Tool development David de Roure The myExperiment approach towards open science
- 27. Tool development Nigam 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 services Annotator services Data services
- 28. Social issues CF Quo Community annotation in translational bioinformatics: lessons from Wikipedia Picture by Hay Kranen
- 29. Social issues CF Quo Community annotation in translational bioinformatics: lessons from Wikipedia Few users, many edits Many users, few edits Picture by Hay Kranen
- 30. Social issues CF Quo Community annotation in translational bioinformatics: lessons from Wikipedia If 0.01% of users contribute... Picture by Hay Kranen
- 31. Social issues CF Quo Community annotation in translational bioinformatics: lessons from Wikipedia Picture by Hay Kranen
- 32. Social issues CF Quo Community annotation in translational bioinformatics: lessons from Wikipedia ... you need millions of users Picture by Hay Kranen
- 33. Social issues Heather 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?
- 34. Social issues Heather 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
- 35. Social issues Heather 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
- 36. 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
- 37. 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
- 38. Tools? Specific tools are required (persistent identity, good repository systems) Build the service and the community http://www.flickr.com/photos/gaetanlee/2792436526/
- 39. 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/amrufm/2351316712/
- 40. Funding? Infrastructure Research on research http://flickr.com/photos/luismimunoznajar/2093185804/
- 41. Improving the research process is an area for (experimental) research that requires the same rigour, standards, and funding as anything else that we do