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Astroinformatics 2011

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Given at Astroinformatics

Given at Astroinformatics

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    Astroinformatics 2011 Astroinformatics 2011 Presentation Transcript

    • tools for digital research kaitlin thaney @kaythaneyastroinformatics, 27 sep 2011
    • a few knowns,by way of background
    • (not an astronomer)
    • “... now old enough to legally drink ...” - perry greenfield
    • my knowledge
    • sciencehas long beendata intensive
    • changes:volume / scale complexity “hammers” ...
    • text text text
    • gaps still exist
    • we’re a tools company
    • technology company publisher link london, nyc, tokyo
    • investincubate develop
    • tiered approach build to scaleresearcher-focused
    • (3)
    • machines researchersdecision makers
    • machines researchersdecision makers
    • “All truths are easy tounderstand once they are discovered; the point is todiscover them.”
    • knowledge discovery
    • knowledge discovery(an example in chemistry)
    • still the starting point
    • patents are no better (in many cases, worse)
    • can streamline
    • name disambiguation
    • 10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one (still strains the minds of the best)
    • machine readability discoverability annotation (even search)
    • machines researchersdecision makers
    • 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/
    • trackingexpirationcalibration
    • protocolsparameterscalibration misc. lit
    • still issues with management(we’re human after all)
    • “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.”
    • feedback, visibility, etc.
    • sharing informationstill hits most’s mental block
    • on the horizon ...
    • machines researchersdecision makers
    • rewards, incentives the “ why ”
    • “the future is here ... just not evenly distributed yet.” - William Gibson
    • problems aren’t as new or novelas you may think
    • technology can helpcoordinate where feasible reduce duplication
    • more efficient researchincrease productivityenable reproducibility
    • thank you.kaitlin@digital-science.com www.digital-science.com @kaythaney