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kaitlin thaney SciPy, 13 july 2011 austin, texas the reality of ‘digital science’ Wednesday, 13 July 2011
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Page 1: "The Reality of Digital Science"

kaitlin thaneySciPy, 13 july 2011

austin, texas

the reality of ‘digital science’

Wednesday, 13 July 2011

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xi. background

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about me

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Digital Science(the company)

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investment armincubator rolein-house dev

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tiered approachbuild to scale

researcher-focused

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1. science, tech, and moving online

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research

idea

experiment

lit review discovery

materials

publish

share results

retestanalyze

collect data

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blocking points

idea

experiment

lit review discovery

materials

publish

share results

retestanalyze

collect data

(to name a few ... )

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access

analysis

disseminationWednesday, 13 July 2011

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text texttext

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discovery & delivery

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changes at the workbench

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annotation & curation

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social & administrative

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gaps still exist

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2. key constituencies

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(3)

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machines

researchers

decision makers

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machines

researchers

decision makers

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...annotation

markupsearch

discovery“behind the

scenes”...

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[brief interlude]

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digitisation of the scholarly canon

(content is still king)

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not nearly there yet ...

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barriers to “access”

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still the starting point

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patents are no better(in many cases, worse)

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can streamline

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name disambiguation

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10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one

(still strains the minds of the best)

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machine readability is key.

agreement is hard.

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10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one

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“everything is metadata ...

everything can be a label.”

- david weinberger

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machines

researchers

decision makers

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a few edge cases (though no field is perfect)

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CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/

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trackingexpiration calibration

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the non-digital

+ordering

processing

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protocols parameterscalibration

misc. lit

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managing information

different types of “data”

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often gigabytes, not terabytes

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“i invented a folder based system ...”

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“i invented a folder based system ...”

“yeah, we had a LIMS. it only ever got used to store photos

from lab nights out.”

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why?

experimentation reliance

data moves, grows legs

funder/instit’n pressure

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machines

researchers

decision makers

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rewards, incentives the “ why ”

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data capture(of a different sort)

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the “social issue”best practices

behaviour roadblocksdiscipline / researcher specific

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paper’s still the currency

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imperfect system

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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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there’s been a drastic spike in terms of sheer volume and type

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citation / impact factorh - index

weighted citations (eigenfactor, sjr)“betweenness centrality”

alt-metrics, etc.

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difficult to ... harmonise

track /maintain / mapunderstand

(even still measure)

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administrators / funders =

part of the research cycle

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3. the reality

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“the future is here ... just not evenly

distributed yet.”- William Gibson

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changing understandings,

paradigms

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technology can helpdesign decisions are key

plan for the irrational

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more efficient researchincrease productivityenable reproducibility

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