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1.
“Get Up to Speed on Data”
Self-Education on the Fly
LITA Forum 2012 CC BY-NC 3.0
Abigail Goben @hedgielib abigailgoben@gmail.com
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2.
Hi, My Name Is….
Abigail
@hedgielib
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Autodidactic Librarian’s Guide to Learning Data Science
Photo by John (cygnus921) http://www.flickr.com/photos/cygnus921/2678359760
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4.
WHAT?
Basics of Data
Software
Library
Components
Photo by Johnathan Nightengale http://www.flickr.com/photos/johnath/7270799658/
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5.
Gold, Anna. Cyberinfrastructure, Data, and
Librarians: Parts 1 & 2. D-Lib.
September/October 2007:13(9/10).
Salo, Dorothea. Retooling Libraries for the
Data Challenge. Ariadne. July 2010:64.
2012 Priscilla Mayden Lecture from the
University of Utah: eScience and the
Evolution of Library Services
For advanced readings, review Dorothea
Salo’s 855 syllabus. http://dsalo.info/wp-
content/uploads/2011/05/855syll2012.pdf
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RDAP
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7.
Who?
Photo: Anna Goben http://www.flickr.com/photos/annagoben/6619765679
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Blogs and Tweeps
mathbabe
(Cathy O’Neil)
Retraction Watch
@LibSkrat
(Dorothea Salo)
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9.
Universities
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10.
Office for
Research
Research
Translational Teams
Science
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For them: It’s never just
about the data
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Librarian as
Researcher
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Librarian Research Data
Data Management Plans
IRB
Metadata
Reuse potential
Data Discovery
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Desk Metrics
Locate
Digitize/clean
Provide key/metadata
Visualizations
Store and Publish
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15.
Citations
Slide 3: Photo by John (cygnus921) http://www.flickr.com/photos/cygnus921/2678359760
Slide 4: Photo by Johnathan Nightengale http://www.flickr.com/photos/johnath/7270799658/
Slide 5: Gold, Anna. Cyberinfrastructure, Data, and Librarians: Parts 1 & 2. D-Lib.
September/October 2007:13(9/10).
Salo, Dorothea. Retooling Libraries for the Data Challenge. Ariadne. July 2010:64.
2012 Priscilla Mayden Lecture from the University of Utah: eScience and the Evolution
of Library Services http://library.med.utah.edu/or/pmayden/home.php
Salo, Dorothea. Syllabus: LIS 855, Digital Curation.
http://dsalo.info/wp-content/uploads/2011/05/855syll2012.pdf
Slide 6: Stuart, David. Facilitating Access to the Web of Data: a Guide for Librarians. October 2011:
Facet Publishing. London.
Milton, Michael. Head First Excel. 2010: O’Reilly. Sebastopol, CA.
Caldwell, Sally. Statistics Unplugged. 3rd Ed. 2010: Cengage Learning. Wadsworth, MA.
Slide 7: http://www.icpsr.umich.edu/icpsrweb/ICPSR/
http://www.arl.org/sparc/
http://www.ala.org/lita/
http://www.asis.org/Conferences/RDAP11/
http://www.iassistdata.org/
http://www.ala.org/alcts/
http://strataconf.com/stratany2012
Slide 8: http://datacurationprofiles.org/
http://www.data.gov/
https://dmp.cdlib.org/
http://www.wolframalpha.com/
http://www.gapminder.org/
http://databib.org
http://code.google.com/p/google-refine/
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Citations
Slide 9: http://lynda.com
http://www.udacity.com/
https://www.coursera.org/
http://www.dataone.org/
http://www.slis.wisc.edu/
http://library.umassmed.edu/imls_grant
Slide 10: Photo: Anna Goben http://www.flickr.com/photos/annagoben/6619765679
Slide 11: https://twitter.com/#!/libskrat
https://twitter.com/#!/researchremix
https://twitter.com/#!/databib
https://twitter.com/#!/gailst
http://www.kdnuggets.com/
http://flowingdata.com/
http://mathbabe.org/
https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=RESEARCH-DATAMAN
Slide 12: http://www.lib.umn.edu/datamanagement
http://researchdata.wisc.edu/
http://research.hub.purdue.edu/
http://www.cdlib.org/
http://www2.lib.virginia.edu/brown/data/
http://www.umich.edu/
http://www.library.umass.edu/services/services-for-faculty/data-management/
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Contact Me
@hedgielib
http://hedgehoglibrarian.com
abigailgoben
@gmail.com
Why am I on this stage?*AAAS Confererence*Started at UIC in Dec 2010 (Public Small Town to Urban R1 Medical)*Just following the NSF DMP Mandate*Database Designer –been working with data, cleaning, building –this appealed. *Started seeing Data related things turning up in job ads*Who is doing it in libraries? GIS, IT, and Catalogers—Linked library data, FRBR, RDA
So I’m supposed to be at least slightly autodidactic, right? I dug, I read I listened. Today we’re going to go through the what, where, and who that I’ve identified thus farNOT Comprehensive but a launch point for you or someone at your institution who is trying to get up to speed
Basics of Data: *Comes in all shapes and sizes*Clean*Good? *Good doesn’t always mean complex or vice versa*I charge by the hour to clean data*Also includes STATISTICS and DATA ANALYSIS *We don’t all need to statisticians*Software: SPSS/SAS/R, Mathematica (what’s behind Wolfram Alpha), and Advanced Excel. Excel –also works for grocery lists, though it’s harder to do calculations on those tables. *Library ComponentsMetadata and OntologiesSources of DataData Management Plans Basically: Find/Acquire, Describe, and Provide Access. Gee, now doesn’t that sound familiar…. Metadata—lot easier to find, we’ve been doing that for much longer, now it’s finding content appropriate ontologiesSources—best thing I can recommend is go out and look. I’ll give you some links, go digging around in other people’s LibGuidesE.G. Federal Government –alcohol DMPs are a natural for us.