The "social" side of digital science

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Given at the ALPSP 2011 conference.

Transcript

kaitlin thaney@kaythaney

ALSPS, 16 sept 2011

the “social” side of digital science

about Digital Scienceour view of “social”changing behavior

our story

technology companypublisher link

london, nyc, tokyo

investment armincubator rolein-house dev

tiered approachbuild to scale

researcher-focused

what we think of as “social” in research

(from 33,000 feet)

(not in the social networking business)

social has been worked into (almost) every aspect of our

online interaction

science is changing(and the research workflow)

communicatecollaborate

conduct

research

idea

experiment

lit review

materials

publish

share results

retestanalyze

collect data

blocking points

idea

experiment

lit review

materials

publish

share results

retestanalyze

collect data

(to name a few ... )

digital research

idea

protocolsparameters

content

the non-digital “stuff”

articlesproceedings(metadata)

share results

retestanalysissynthesis

datasets

(will revisit later)

prof activitiesmentorship

patents

science = inherently social (with a few bugs)

(think knowledge exchange)

social in terms of knowledge 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/

protocols parameterscalibration

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 only ever got used to store photos

from lab nights out.”

social for data

feedback, 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

idea

protocolslab notebooks

content

the non-digital “stuff”

articlesproceedings(metadata)

conversations

resultsqueries

datasets

prof activitiesmentorship

patents

(some new outputs to consider)

tools for decision makers (research admin / funders)

using technology to spur cultural shift

what do we want on the back of our (science) baseball

cards?

“- paul groth (et al.)

Top Trumps

technology can helpperception issuechange the way we view/value social

work towards reproducibilityencourage new content useskeep in mind social barriers

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