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Braun Stewarding Analytics Through Data Visualization

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This presentation was provided by Steven Braun of Northeastern University Libraries during the NISO webinar, Using Analytics to Extract Value from the Library's Data, held on September 12, 2018.

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Braun Stewarding Analytics Through Data Visualization

  1. 1. Stewarding Analytics through Data Visualization in Library Settings Steven Braun Data Analytics and Visualization Specialist Northeastern University Libraries Digital Scholarship Group September 12, 2018 NISO / Using Analytics to Extract Value from the Library’s Data
  2. 2. What is data visualization? the use of visual encodings to represent information (data) in a way that facilitates exploration, discovery, and analysis
  3. 3. What is data visualization? the use of visual encodings to represent information (data) in a way that facilitates exploration, discovery, and analysis
  4. 4. What is data visualization? the use of visual encodings to represent information (data) in a way that facilitates exploration, discovery, and analysis
  5. 5. What is data visualization? the use of visual encodings to represent information (data) in a way that facilitates exploration, discovery, and analysis
  6. 6. Visualization has multiple faces a process or practice of communication, narrative, and representation an artifact or object of scholarly inquiry, analysis, and investigation
  7. 7. What happens in the space between?
  8. 8. Data visualization is an analytical and rhetorical tool we can use to communicate information, point attention, and tell a story
  9. 9. Data visualization is an analytical and rhetorical tool we can use to evaluate the quality of library resources, assess practices and policies, and connect with patrons
  10. 10. Evaluating the quality of library resources The Manifold project illuminated weaknesses in the sustainability, quality, and reliability of the institution’s subscription to Scopus Library stewardship of existing subscription resources in new contexts breathed heightened rigor and value into their usage
  11. 11. Evaluating the quality of library resources Assessing practices and policies gate counts circulation counts geographic borrowing trends (ILL) reference and instruction statistics
  12. 12. https://public.tableau.com/profile/northeastern.university.libraries
  13. 13. https://public.tableau.com/profile/northeastern.university.libraries
  14. 14. https://public.tableau.com/profile/northeastern.university.libraries
  15. 15. https://public.tableau.com/profile/boston.college.library.assessment.outreach
  16. 16. https://public.tableau.com/profile/boston.college.library.assessment.outreach
  17. 17. Evaluating the quality of library resources Assessing practices and policies Conventional measures of circulation may not adequately inform collections practices What would it look like to (literally) map collections usage against the space those collections occupy?
  18. 18. Heatmap showing magnitude of circulation counts over time for each unique call number range mapped to the physical shelves those ranges occupy
  19. 19. Evaluating the quality of library resources Assessing practices and policies Connecting with patrons Data about how library spaces and resources are used by patrons can elucidate new frames of understanding for both library and user alike
  20. 20. Data visualization is an analytical and rhetorical tool we can use to communicate information, point attention, and tell a story
  21. 21. Data visualization is a potent medium for storytelling we often need to communicate evidence-based findings about our services, resources, and users – how the many faces of libraries are utilized and understood from both inside and outside
  22. 22. CONTACT Steven Braun s.braun@northeastern.edu (617) 373-5885 http://www.stevengbraun.com http://subjectguides.lib.neu.edu/gis-datavis

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