Introduction
Dashboards can be a powerful, impressive, and effective way to collect, convey, and publish relevant information about your academic library. They can help an academic library to establish its importance in the institution’s strategic goals, to demonstrate its value, to tell its story. Depending on your circumstances, they are well worth the investment of staff time and budget.
Factors impacting the rationale and uses of data visualization and dashboards:
- Why do you need data visualization/dashboards?
- Who is your audience?
- What are you trying to convey via data visualization/dashboards?
- What data do you need to collect?
- What is the best format to use?
- How much money/time will be invested?
Factors to Consider
Why do you need data visualization/dashboards? | Who is your audience? |
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What are you trying to convey via data visualization/dashboards? | What data could be collected? |
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What is the best format to use? | How much money/time will be invested? |
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Uses of Data Visualization and Dashboards
Public website | Promotional material |
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Research and publication | Presentations to institutional administrators |
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Internal (locked) website | |
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Further Reading
Tay, A. (2016, November 18). 5 Reasons why library analytics is on the rise. [Blog post]. Retrieved from http://musingsaboutlibrarianship.blogspot.ca.
- Good, quick overview.
Cox, B., & Jantti, M. (2012, July 17). Discovering the Impact of Library Use and Student Performance. Educause Review.
- Using data to demonstrate “a strong correlation between students’ grades and use of information resources” as a way of showing how academic libraries add value.
Oakleaf, M, Whyte, A., Lynema, E., & Brown, M. (2017). Academic libraries & institutional learning analytics: One path to integration. The Journal of Academic Librarianship, 43(5).
- Using data visualization to effectively demonstrate the library’s added-value and alignment with institutional goals around student learning.
Orlando, T. M., & Sunindyo, W. D. (2017). Designing dashboard visualization for heterogeneous stakeholders (case study: ITB central library). Proceedings of 2017 International Conference on Data and Software Engineering (ICoDSE).
- How to ensure usability of dashboards by various user groups and audiences.
Murphy, S. A. (2015). How data visualization supports academic library assessment: Three examples from The Ohio State University Libraries using Tableau. College & Research Libraries News, 76(9), 482-486.
- A basic rationale for using more advanced software to create more sophisticated dashboards (compared to basic data visualization); shows how effective this can be in promotion of collections and services, in developing collection-development priorities, and in allowing librarians to effectively use student survey results.