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Drilling Down Into Your Library Data

This presentation explores data definitions and types, data literacy, data analysis using an Edmonton Public Library example, tools for data visualization and presentation, and open source tools for data analysis.

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Drilling Down Into Your Library Data

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  1. Drilling Down Into Your Library DataTami Oliphant & Ali ShiriSchool of Library and Information Studies University of AlbertaAlberta Library Conference, 29 April 2016

  2. Outline • Data definitions and types • Data literacy • Data analysis—Edmonton Public Library example • Tools for data visualization and presentation • Open source tools for data analysis

  3. What has your data donefor you lately? • Data-driven decision-making (Massis, 2016) • Reviewing and classifying reference statistics (LeMire et al., 2016) • GIS and in-library use data (Mandel, 2010) • Data visualization and library assessment (Murphy, 2015)

  4. Data Definitions

  5. Data are a string of symbols.  • Information is data that is communicated, has meaning, has an effect, has a goal. • Fidel, R. (2012). Human Information Interaction. Cambridge, MA: MIT Press. • Big Data are difficult to define

  6. Data in context

  7. Types of library data • Circulation data • Open data • Qualitative data • Search behaviour data • Social media data • Usability data Image from the British Library

  8. Tweet analysis and categorization

  9. Map of EPL branches in Edmonton

  10. Search for “Libraries”

  11. Public Libraries Statistics Data

  12. Data Literacy

  13. Data Literacy “Data literacy is the new skill” “…the component of information literacy that enables individuals to access, interpret, critically assess, manage, handle and ethically use data.” (Calzada et al., 2013)

  14. Temporal Queries from EPL

  15. Data collected • June 21-July 21 • Total sessions: 136,861 • Total searches: 374,271 • Total unique searches: 321,085 • July 22-Aug. 21 • Total sessions: 129,635 • Total searches: 368,242 • Total unique searches: 315,991 • Aug. 22-Sept. 21 • Total sessions: 140,050 • Total searches: 380,639 • Total unique searches: 328,359 Total number of searches: 1,123,152

  16. Data collected Total sessions and searches by day of the week

  17. Means searching plot by day of week

  18. World Cup 2014 • First task: determine search terms for World Cup: • FIFA • Soccer • Football • World Cup • Stars such as Messi, Ronaldo • Total number of searches related to soccer and/or the World Cup: • June 21-July 21: 576 • July 22-Aug. 21:506 • Aug. 22-Sept. 21: 412

  19. World Cup 2014—Examples of search terms

  20. World cup 2014 searched by format • Videogames: includes xbox, wii, pro-evolution soccer, ps3 & 4, etc. • Videogames: June 21-July 21: 45% (257 searches) • Videogames: July 22-Aug. 21: 55% (280 searches) • Videogames: Aug. 22-Sept. 21: 57% (236 searches)

  21. FIFA 15 • June 21-July 21: FIFA 15 searches: 5 • July 22-Aug. 21: FIFA 15 searches: 19 • Aug. 22-Sept. 21: FIFA 15 searches: 51

  22. Robin Williams—Died on August 11, 2014 • Bibliocommons searches for Dead Poets Society • June 21-July 21: 7 • July 22-Aug.21: 141 • Aug. 22-Sept. 21: 58 This image is provided under a creative commons license at https://www.flickr.com/photos/webmonk

  23. Most popular searches

  24. EPL’s long tail:Number of searches for “vegan”-452 • Number of searches with one unique search: 372

  25. Sun., June 22, 2014 Sun., June 29, 2014

  26. Mon., June 23, 2014 Tues., June 24, 2014

  27. Wed., June 25, 2014 Thurs., June 26, 2014

  28. Fri., June 27, 2014 Sat., June 28, 2014

  29. Nature of Seasonal Queries at EPL

  30. Findings: RQ 1: What are the characteristics of seasonal/temporal queries in a large public library system?

  31. Comparison between the two datasets (Oct. 6 – 9; Oct. 10 – 12, 2014)

  32. Tools for Data Analysis & Visualization

  33. https://data.edmonton.ca

  34. EPL Open data https://data.edmonton.ca

  35. Number of holds by EPL branch

  36. Comments made by readers of Twilight on EPL Catalogue (Tagxedo)

  37. Medicine Hat Public Library Collection Management Policy

  38. Putting library data to work Data is useful for: • Story telling • Exploring novel ways of providing new services and programs • Supports assessment activities • Evidence-based demonstration of the value of library services • Formulating new research questions

  39. We wish to thank Pilar Martinez and Peter Schoenberg for granting access to EPL search data and for feedback regarding this project. We also wish to thank our research assistants Lydia Zvyagintseva, Claire Tunney, and CorinaSurcelfor all their hard work.

  40. Thank you for your attention! Ali Shiri: ashiri@ualberta.ca Tami Oliphant: toliphan@ualberta.ca

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