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The "social" side of digital science

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Given at the ALPSP 2011 conference.

Given at the ALPSP 2011 conference.

Published in: Technology, Education
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  • 1. the “social” sideof digital science kaitlin thaney @kaythaneyALSPS, 16 sept 2011
  • 2. about Digital Science our view of “social” changing behavior
  • 3. our story
  • 4. technology company publisher link london, nyc, tokyo
  • 5. investment arm incubator role in-house dev
  • 6. tiered approach build to scaleresearcher-focused
  • 7. what we think of as“social” in research (from 33,000 feet)
  • 8. (not in the socialnetworking business)
  • 9. social has been worked into(almost) every aspect of our online interaction
  • 10. science is changing (and the research workflow)
  • 11. communicate collaborate conduct
  • 12. research idea publish lit reviewshare results materials retest analyze experiment collect data
  • 13. blocking points (to name a few ... ) idea publish lit reviewshare results materials retest analyze experiment collect data
  • 14. digital research (will revisit later) idea articles proceedings content prof activities (metadata) mentorship patentsshare results the non-digital “stuff” retest analysis protocols synthesis parameters datasets
  • 15. science = inherently social (with a few bugs)(think knowledge exchange)
  • 16. social in terms ofknowledge discovery
  • 17. still the starting point
  • 18. patents are no better (in many cases, worse)
  • 19. can streamline
  • 20. in labs, this is social
  • 21. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • 22. CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • 23. protocolsparameterscalibration misc. lit
  • 24. sharing information different types of “data”
  • 25. “i invented a folder based system ...”
  • 26. “i invented a folder based system ...”“yeah, we had a LIMS. it onlyever got used to store photos from lab nights out.”
  • 27. social for datafeedback, visibility, etc.
  • 28. sharing informationstill hits most’s mental block
  • 29. how we measure, incentivise
  • 30. data capture(of a different sort)
  • 31. the “social issue” best practices behaviour roadblocksdiscipline / researcher specific change in what we measure
  • 32. paper’s still the currency
  • 33. “scientific contribution”has moved beyond just the paper
  • 34. our metrics need to reflect that
  • 35. digital research (some new outputs to consider) idea articles proceedings content prof activities (metadata) mentorship patentsconversations the non-digital “stuff” results protocols queries lab notebooks datasets
  • 36. tools for decision makers(research admin / funders) using technology to spur cultural shift
  • 37. “ what do we wanton the back of our(science) baseball Top Trumps cards? “ - paul groth (et al.)
  • 38. technology can help perception issue change the way we view/value social
  • 39. work towards reproducibilityencourage new content useskeep in mind social barriers
  • 40. thank you.k.thaney@digital-science.com www.digital-science.com @kaythaney

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