the reality of ‘digital science’ kaitlin thaney SciPy, 13 july 2011 austin, texas Wednesday, 13 July 2011
xi. background Wednesday, 13 July 2011
about me Wednesday, 13 July 2011
Digital Science (the company) Wednesday, 13 July 2011
investment arm incubator role in-house dev Wednesday, 13 July 2011
tiered approach build to scale researcher-focused Wednesday, 13 July 2011
1. science, tech, and moving online Wednesday, 13 July 2011
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research idea lit review publish discovery share results materials retest experiment analyze collect data Wednesday, 13 July 2011
blocking points (to name a few ... ) idea lit review publish discovery share results materials retest experiment analyze collect data Wednesday, 13 July 2011
access analysis dissemination Wednesday, 13 July 2011
text text text Wednesday, 13 July 2011
discovery & delivery Wednesday, 13 July 2011
changes at the workbench Wednesday, 13 July 2011
annotation & curation Wednesday, 13 July 2011
social & administrative Wednesday, 13 July 2011
gaps still exist Wednesday, 13 July 2011
2. key constituencies Wednesday, 13 July 2011
( 3 ) Wednesday, 13 July 2011
machines researchers decision makers Wednesday, 13 July 2011
machines researchers decision makers Wednesday, 13 July 2011
... annotation markup search discovery “behind the scenes” ... Wednesday, 13 July 2011
[brief interlude] Wednesday, 13 July 2011
digitisation of the scholarly canon (content is still king) Wednesday, 13 July 2011
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not nearly there yet ... Wednesday, 13 July 2011
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barriers to “access” Wednesday, 13 July 2011
still the starting point Wednesday, 13 July 2011
patents are no better (in many cases, worse) Wednesday, 13 July 2011
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can streamline Wednesday, 13 July 2011
name disambiguation Wednesday, 13 July 2011
10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one (still strains the minds of the best) Wednesday, 13 July 2011
machine readability is key. agreement is hard. Wednesday, 13 July 2011
10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one Wednesday, 13 July 2011
“everything is metadata ... everything can be a label.” - david weinberger Wednesday, 13 July 2011
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machines researchers decision makers Wednesday, 13 July 2011
a few edge cases (though no field is perfect) Wednesday, 13 July 2011
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CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/ Wednesday, 13 July 2011
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tracking expiration calibration Wednesday, 13 July 2011
ordering + processing the non-digital Wednesday, 13 July 2011
protocols parameters calibration misc. lit Wednesday, 13 July 2011
managing information different types of “data” Wednesday, 13 July 2011
often gigabytes, not terabytes Wednesday, 13 July 2011
“i invented a folder based system ...” Wednesday, 13 July 2011
“i invented a folder based system ...” “yeah, we had a LIMS. it only ever got used to store photos from lab nights out.” Wednesday, 13 July 2011
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why? experimentation reliance data moves, grows legs funder/instit’n pressure Wednesday, 13 July 2011
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machines researchers decision makers Wednesday, 13 July 2011
rewards, incentives the “ why ” Wednesday, 13 July 2011
data capture (of a different sort) Wednesday, 13 July 2011
the “social issue” best practices behaviour roadblocks discipline / researcher specific Wednesday, 13 July 2011
paper’s still the currency Wednesday, 13 July 2011
imperfect system Wednesday, 13 July 2011
“Right now we're going through a Cambrian explosion of metrics.” - Johan Bollen Nature 465 , 864-866 (2010) | doi:10.1038/465864a Wednesday, 13 July 2011
there’s been a drastic spike in terms of sheer volume and type Wednesday, 13 July 2011
citation / impact factor h - index weighted citations (eigenfactor, sjr) “betweenness centrality” alt-metrics, etc. Wednesday, 13 July 2011
difficult to ... harmonise track /maintain / map understand (even still measure) Wednesday, 13 July 2011
administrators / funders = part of the research cycle Wednesday, 13 July 2011
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3. the reality Wednesday, 13 July 2011
“the future is here ... just not evenly distributed yet.” - William Gibson Wednesday, 13 July 2011
changing understandings, paradigms Wednesday, 13 July 2011
technology can help design decisions are key plan for the irrational Wednesday, 13 July 2011
more efficient research increase productivity enable reproducibility Wednesday, 13 July 2011
thank you. k.thaney@digital-science.com www.digital-science.com @kaythaney Wednesday, 13 July 2011
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