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Expanded version of the Save the Cows presentation, for a mixed librarian/IT-professional audience.
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Save the Cows!
Cyberinfrastructure for the rest of us
Dorothea SaloDigital Repository Librarian
University of Wisconsin11 March 2009
E-ScienceE-Science
Cyberinfrastructure
Data Curation
Grid Computing
Metadata
IT? Libraries?Faculty?
Data mining
EXABYTESPetabytes
TerabytesE-Research
Standards
AAAARGH!Collaboration Identity
It’s simpler than that.
(thank goodness!)
Scholars use
in their research
This produces
DATA.
In addition to
DATA.
So now we have to support that.
Data generation
Data management
Data storage
Data certification
Data discovery and reuse
That’s all this is about. Really.
What I will not talk about today
• Collaboration technology
• Identity-management, authentication, authorization, etc.
• Grid computing
• Instrument science
• Open Notebook Science
Of course these are important. I’m just not competent to opine. Fortunately, you have Melissa!
What I’m on about
DATA.
Data?
Charts and graphs are DEAD data
Killed! Cut in pieces!
Ground up! Unrecognizable!
Not revivable! Not reusable!
Okay, what’s data, then?
We have to save the cows!
In case you’re wondering...
“Converting PDF to XML is a bit li
ke
converting hamburgers into cows.”
—Michael Kay
<http://l
ists.xml.
org/arch
ives/xm
l-dev/20
0607/
msg0050
9.html>
Do we have to keep data?
SOMETIMES.(but it’s often a good idea even if
you don’t have to)
Funders may require it.
Journals may require it.
Here’s the catch
Some of these placeshave built barns
for the cows.Many haven’t.
Guess who’s on if they don’t?
What can be done with data?
• Experimental validation
• Meta-analysis, data-mining, mashups
• Interdisciplinary investigation
• Historical investigation
• Modeling and model validation
• ... the possibilities are endless—IF we have the cows the data.
Is all data from “BIG SCIENCE”?
Absolutely not.
(they don’t even need our help)
“Small Science”
Less money
Less know-how
In aggregate? MORE COWS.
Arts & Humanities
Here’s the catch.
Nobody knowshow to do all this.
(yet)
But we do know a few things...
Cows are dumb.
They will not save themselves.
It takes a village
to save the cows.
ResearchersCan you tell a Holstein from an Angus?
Me neither.
But researchers know their cows.
Information Technologists
Librarians
But what I see happening is .
.. this b
eautiful
combination of understanding the str
ucture of
information, and understanding the code that goes
behind it, and how to make it u
sable to the people
who want to access it
. I think that w
e used to talk
about blended, or the hybrid lib
rarian — now that’s
the librarian.
“Librarian 15”
Palmer et al., “Identify
ing Factors of Success...
”
Grant administrators
Cows don’t corral themselves.Neither do researchers.
The big gray area
Informaticists?
Researchers who code?
IT pros who grok metadata?
Librarians who model data?
Great. So now what?
Find use cases
Plan for infrastructure
Build alliances
Start conversations
Ten Questions1. What is the story of your data?2. What form and format are the data in?3. What is the expected lifecycle of your data?4. How could your data be used, reused, and repurposed?5. How large is your dataset, and what is its rate of
growth?6. Who are the potential audiences for your data?7. Who owns the data?8. Does the dataset include any sensitive information?9. What publications or discoveries have resulted from the
data?10.How should the data be made accessible?
—Michael Witt and Jake Carlson, Purdue University
Keep an eye out
If this seems like common sense...
... good! It mostly is!
Thank you!
(and save a cow today!)
• Title slide: http://www.flickr.com/photos/flikr/131673772/• Server rack: http://www.flickr.com/photos/dumbledad/3276756770/• Command centre: http://www.flickr.com/photos/soundman1024/2054512893/
• Laptop: http://www.flickr.com/photos/arbron/56216464/• Dual-monitor setup: http://www.flickr.com/photos/blakespot/2372432028/
• Photo-data: http://www.flickr.com/photos/51114580@N00/1597765466/• Word cloud: http://www.flickr.com/photos/55772089@N00/3291287830/• Internet map: http://www.flickr.com/photos/jurvetson/63009926/
• Dhaka image: http://www.flickr.com/photos/ahaqueusa/1268467179/• Plant cross-section: http://www.flickr.com/photos/tonios-pics/387510805/
• Journals: http://www.flickr.com/photos/emdot/56157732/• Books: http://www.flickr.com/photos/guwashi999/2635608241/• Manuscript: http://www.flickr.com/photos/86624586@N00/10187684/
• Hamburger: http://www.flickr.com/photos/nadya/1019816514/• Row of cows: http://www.flickr.com/photos/flikr/230379411/
• Beware of cow: http://www.flickr.com/photos/tm-tm/2339539399/• Cowboys: http://www.flickr.com/photos/bistrosavage/30710414/• Hands: http://www.flickr.com/photos/iandesign/1204632335/
• Money: http://www.flickr.com/photos/emraya/2867188734/• Barn: http://www.flickr.com/photos/efleming/2814015008/
• Hook: http://www.flickr.com/photos/28481088@N00/2077768050/• Large Hadron Collider: Fanny Schertzer, Wikimedia Commons• One Size Fits: http://www.flickr.com/photos/hmk/2280657662/
• Herd: http://www.flickr.com/photos/krossbow/2530875540/• Angus: http://www.flickr.com/photos/royalty-free-images/139138902/
• Digital libraries: http://www.flickr.com/photos/dullhunk/3272867908/• Holstein: http://www.flickr.com/photos/jdickert/539619160/• Green tech: http://www.flickr.com/photos/jurvetson/2126204366/
• Permission in advance: http://www.flickr.com/photos/mikeblogs/2762543380/• Librarian: http://flickr.com/photos/webchicken/1352009526/
• Org chart: http://www.flickr.com/photos/mwichary/2356663850/• Conversation: http://flickr.com/photos/eggybird/97707771/• Rodeo: http://www.flickr.com/photos/omaromar/49239249/
• Thumbs up: http://www.flickr.com/photos/striatic/2135057566/• Cow eye: http://www.flickr.com/photos/foxypar4/918567682/
Credits
Thank you!
(and save a cow today!)