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Data Self Education for LITA Forum
- 1. “Get Up toSpeed on Data” Self-Education on the Fly LITA Forum 2012 CC BY-NC 3.0 Abigail Goben @hedgielib abigailgoben@gmail.com
- 2. Hi, My NameIs…. Abigail @hedgielib
- 3. Autodidactic Librarian’s Guideto Learning Data Science Photo by John (cygnus921) http://www.flickr.com/photos/cygnus921/2678359760
- 4. WHAT? Basics of Data Software Library Components Photo by Johnathan Nightengale http://www.flickr.com/photos/johnath/7270799658/
- 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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- 10. Who? Photo: Anna Gobenhttp://www.flickr.com/photos/annagoben/6619765679
- 11. Blogs and Tweeps mathbabe (CathyO’Neil) Retraction Watch @LibSkrat (Dorothea Salo)
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- 13. Office for Research Research Translational Teams Science
- 14. For them: It’snever just about the data
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- 16. Librarian Research Data Data Management Plans IRB Metadata Reuse potential Data Discovery
- 17. Desk Metrics Locate Digitize/clean Provide key/metadata Visualizations Store and Publish
- 18. 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/
- 19. 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/
- 20. Contact Me @hedgielib http://hedgehoglibrarian.com abigailgoben @gmail.com
Editor's Notes
- #3 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
- #4 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
- #5 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.