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made available by Paul Keller under a CC-BY-2.0 license
Thursday, 14 July 2011
made available by Paul Keller under a CC-BY-2.0 license
well .. sort of.
Thursday, 14 July 2011
data in the digital age
kaitlin thaneyaustin big data user group, 13 july 2011
austin, texas
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xi. background
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about me
about me
sameAs
expattechnologistopen science
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technology companypublisher link
london, nyc, tokyo
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investment armincubator rolein-house dev
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tiered approachbuild to scale
researcher-focused
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<text>
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about
1815
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first geological map“strata”
reputation
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data ... metadata / markup
experimentationmetrics
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1. science is changing
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1. science is changing(and the research workflow)
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research
idea
experiment
lit review
materials
publish
share results
retestanalyze
collect data
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blocking points
idea
experiment
lit review
materials
publish
share results
retestanalyze
collect data
(to name a few ... )
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types of information
idea
protocolsparameters
content
the non-digital “stuff”
articlesproceedings
share results
retestanalysissynthesis
datasets
(will revisit later)
prof activitiesmentorship
patents
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text texttext
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remaining roadblocksspecialisation of tools (+/-)
interoperabilityaccessibility
design decisionsthe “social issue”
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2. focus areas
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(3)
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knowledge discovery
software applications
research management
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knowledge discovery
software applications
research management
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data ...content, compounds,
collections
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text texttext
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can fine-tune
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name disambiguation
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10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one
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knowledge discovery
software applications
research management
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gigabytes, not terabytes
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CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
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better trackingis needed
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the non-digital
+ordering
processing
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protocols parameterscalibrationliterature
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parameters
the non-digital
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about
the non-digital
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not just tracking, but organisation +
analysis
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000s100s200s300s400s500s600s
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000s100s200s300s400s500s600s
... philosophy/psychreligionsocial sci...lang, natsci, mathstech/appliedsci
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000s100s200s300s400s500s600s
computersciphilosophy/psychreligionsocial sci...lang, natsci, mathstech/appliedsci
problems
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spatial, topical mappingarbitrary, heuristic
difficult to edit
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knowledge discovery
software applications
research management
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data capture(of a different sort)
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tools for decision makers (research admin / funders)
using technology to spur cultural shift
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existing system is imperfect
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“Right now we're going through a Cambrian explosion of metrics.”
- Johan Bollen
Nature 465, 864-866 (2010) | doi:10.1038/465864a
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citation / impact factorh - index
weighted citations (eigenfactor, sjr)“betweenness centrality”
alt-metrics, etc.
a wealth of mechanisms exist ...
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challenges :harmonisation
track /maintainjudgement calls
external pressures
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measurements still stuck in the paper
metaphor
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what do we want on the back of our (science) baseball
cards?
“
“- paul groth (et al.)
UK folks, think Top Trumps
*
*
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4. our goal
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software that understands science
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software that understands scientists
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reflect changes in digital research
account for new “data”
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more efficient researchincrease productivityaccelerate discovery
shift culture
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thank you.
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