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Policy Lunchbox - Digital Science
1.
digital science and
the future of online research kaitlin thaney policy lunchbox, 3 aug 2011 charles darwin house, london
2.
xi. background
3.
4.
technology company
publisher link london, nyc, tokyo
5.
investment arm incubator
role in-house dev
6.
tiered approach
build to scale researcher-focused
7.
1. science is
changing
8.
1. science is
changing (and the research workflow)
9.
research
idea publish lit review share results materials retest analyze experiment collect data
10.
blocking points
(to name a few ... ) idea publish lit review share results materials retest analyze experiment collect data
11.
types of information
(will revisit later) idea articles content proceedings prof activities mentorship patents share results the non-digital “stuff” retest analysis protocols synthesis parameters datasets
12.
text text
text
13.
14.
roadblocks
(to name a few) ... specialisation of tools (+/-) interoperability accessibility design decisions the “social issue”
15.
2. key constituencies
16.
(3)
17.
machines researchers decision
makers
18.
machines researchers decision
makers
19.
... annotation markup
search discovery “behind the scenes” ...
20.
still the starting
point
21.
patents are no
better (in many cases, worse)
22.
23.
24.
25.
26.
27.
can streamline
28.
name disambiguation
29.
10,11-dihydro-5-methyl-5H-dibenzo[b,e][1,4]diazepin-11-one
(still strains the minds of the best)
30.
31.
32.
machines researchers decision
makers
33.
CC-BY-2.0 - Plaxco
Lab - http://www.flickr.com/photos/34857812@N04/
34.
35.
tracking expiration
36.
ordering
+ processing the non-digital
37.
protocols parameters calibration misc. lit
38.
managing information
different types of “data”
39.
“i invented a
folder based system ...”
40.
“i invented a
folder based system ...” “yeah, we had a LIMS. it only ever got used to store photos from lab nights out.”
41.
42.
why? experimentation reliance data moves,
grows legs funder/instit’n pressure
43.
44.
machines researchers decision
makers
45.
how we measure impact,
reputation etc.
46.
data capture (of a
different sort)
47.
the “social issue”
best practices behaviour roadblocks discipline / researcher specific
48.
paper’s still the
currency
49.
imperfect system
50.
“Right now we're
going through a Cambrian explosion of metrics.” - Johan Bollen Nature 465, 864-866 (2010) | doi:10.1038/465864a
51.
there’s been a
drastic spike in terms of sheer volume and type
52.
citation / impact
factor h - index weighted citations (eigenfactor, sjr) “betweenness centrality” alt-metrics, etc.
53.
difficult to ...
harmonise track /maintain / map understand (even still measure)
54.
55.
56.
57.
tools for decision
makers (research admin / funders) using technology to spur cultural shift
58.
“ what do
we want on the back of our (science) baseball Top Trumps cards? “ - paul groth (et al.)
59.
3. the reality
60.
“the future is
here ... just not evenly distributed yet.” - William Gibson
61.
changing understandings, paradigms
62.
technology can help design
decisions are key plan for the irrational
63.
more efficient research increase
productivity enable reproducibility
64.
thank you. k.thaney@digital-science.com
www.digital-science.com @kaythaney
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