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The "social" side of digital science
 

The "social" side of digital science

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Given at the ALPSP 2011 conference.

Given at the ALPSP 2011 conference.

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http://paper.li 64
http://www.scoop.it 36
http://us-w1.rockmelt.com 6
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The "social" side of digital science The "social" side of digital science Presentation Transcript

  • the “social” sideof digital science kaitlin thaney @kaythaneyALSPS, 16 sept 2011
  • about Digital Science our view of “social” changing behavior
  • our story
  • technology company publisher link london, nyc, tokyo
  • investment arm incubator role in-house dev
  • tiered approach build to scaleresearcher-focused
  • what we think of as“social” in research (from 33,000 feet)
  • (not in the socialnetworking business)
  • social has been worked into(almost) every aspect of our online interaction
  • science is changing (and the research workflow)
  • communicate collaborate conduct
  • research idea publish lit reviewshare results materials retest analyze experiment collect data
  • blocking points (to name a few ... ) idea publish lit reviewshare results materials retest analyze experiment collect data
  • 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
  • science = inherently social (with a few bugs)(think knowledge exchange)
  • social in terms ofknowledge discovery
  • still the starting point
  • patents are no better (in many cases, worse)
  • can streamline
  • in labs, this is social
  • CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
  • protocolsparameterscalibration misc. lit
  • sharing information different types of “data”
  • “i invented a folder based system ...”
  • “i invented a folder based system ...”“yeah, we had a LIMS. it onlyever got used to store photos from lab nights out.”
  • social for datafeedback, visibility, etc.
  • sharing informationstill hits most’s mental block
  • how we measure, incentivise
  • data capture(of a different sort)
  • the “social issue” best practices behaviour roadblocksdiscipline / researcher specific change in what we measure
  • paper’s still the currency
  • “scientific contribution”has moved beyond just the paper
  • our metrics need to reflect that
  • 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
  • tools for decision makers(research admin / funders) using technology to spur cultural shift
  • “ what do we wanton the back of our(science) baseball Top Trumps cards? “ - paul groth (et al.)
  • technology can help perception issue change the way we view/value social
  • work towards reproducibilityencourage new content useskeep in mind social barriers
  • thank you.k.thaney@digital-science.com www.digital-science.com @kaythaney