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.

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. What is data visualization?
the use of visual encodings to represent information (data)
in a way that facilitates exploration, discovery, and analysis

3. What is data visualization?
the use of visual encodings to represent information (data)
in a way that facilitates exploration, discovery, and analysis

4. What is data visualization?
the use of visual encodings to represent information (data)
in a way that facilitates exploration, discovery, and analysis

5. What is data visualization?
the use of visual encodings to represent information (data)
in a way that facilitates exploration, discovery, and analysis

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. What happens in the space between?

12. Data visualization is an analytical and rhetorical
tool we can use to
communicate information,
point attention,
and tell a story

13. 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

17. 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

18. Evaluating the quality of library resources
Assessing practices and policies
gate counts
circulation counts
geographic borrowing trends (ILL)
reference and instruction statistics

19. https://public.tableau.com/profile/northeastern.university.libraries

20. https://public.tableau.com/profile/northeastern.university.libraries

21. https://public.tableau.com/profile/northeastern.university.libraries

22. https://public.tableau.com/profile/boston.college.library.assessment.outreach

23. https://public.tableau.com/profile/boston.college.library.assessment.outreach

24. 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?

28. Heatmap showing magnitude of circulation counts over
time for each unique call number range mapped to the
physical shelves those ranges occupy

29. 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

34. Data visualization is an analytical and rhetorical
tool we can use to
communicate information,
point attention,
and tell a story

35. 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

36. CONTACT
Steven Braun
s.braun@northeastern.edu
(617) 373-5885
http://www.stevengbraun.com
http://subjectguides.lib.neu.edu/gis-datavis