Lectures complémentaires

• University of Vermont Libraries
• Singapore Management University

ACRL. (2018). Standards for libraries in higher education. Chicago, IL : ACRL.

Archambault, S. G., Helouvry, J., Strohl, B., & Williams, G. (2015). Data visualization as a communication tool. Library Hi Tech News, 32(2), 1-9.

Cox, B., & Jantti, M. (2012, 17 juillet). Discovering the impact of library use and student performance. Educause Review.

Cheng, C., Gilmore, T., Lougen, C., & Stovall, C. (2017, novembre). Statistical analysis, data visualization, and business intelligence tools for electronic resources in academic libraries. Présenté à la 2017 Charleston Conference: Issues in Book and Serial Acquisition, Charleston, SC.

Diamond, M., & Mattia, A. (2017). Data visualization: An Exploratory study into the software tools used by businesses. Journal of Instructional Pedagogies, 18.

Dulin, K., & Spina, (C). (2011). Recommendations for the design of the library analytics toolkit. Cambridge, MA : Harvard University Libraries.

Evergreen, S. D. H. (2017). Effective data visualization: The right chart for the right data. Los Angeles, CA : Sage.

Farney, T. (2018). Using digital analytics for smart assessment. Chicago, IL : ALA Editions.

Finch, J., & Flenner, A. (2016). Using data visualization to examine an academic library collection. College & Research Libraries, 77(6), 765-778.

Franklin, T., Harrop, H., Kay., D., & van Harmelen, M. (2011). Exploiting activity data in the academic environment. Repéré au siteweb Activity Data.

Hinchliffe, L. J. (2015). Professional development for assessment: Lessons from reflective practice. Journal of Academic Librarianship, 41(6), 850-852.

Hoffman, S., & Hall, A. (2017). The data framework: A collaborative tool for assessment at the UNLV libraries. Journal of Electronic Resources Librarianship, (29)3, 159-167.

Khan, A. (2016). Jumpstart Tableau: A step-by-step guide to better data visualization. New York, NY : Apress.

Magnuson, L. (2016). Data visualization: A guide to visual storytelling for libraries. New York, NY : Rowman & Littlefield.

Marcum, D., & Schonfeld, R. C. (2014). Driving with data: A roadmap for evidence-based decision making in academic libraries. New York, NY: Ithaka S+R.

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.

Oakleaf, M. (2010). Value of academic libraries: A comprehensive research review and report. Chicago, IL : ACRL.

Orcutt, D. (2010). Library data: Empowering practice and persuasion. Santa Barbara, CA : Libraries Unlimited.

Orlando, T. M., & Sunindyo, W. D. (2017). Designing dashboard visualization for heterogeneous stakeholders. Proceedings of 2017 International Conference on Data and Software Engineering (ICoDSE).

Shaffer, J., Cotgreave, A., & Wexler, A. (2017). The big book of dashboards: Visualizing your data using real-world business scenarios. Hoboken, NJ : John Wiley & Sons.

Showers, B. (2015). Library analytics and metrics: Using data to drive decisions and services. Londres, Royaume-Uni : Facet Publishing.

Soria, K. M., Fransen, J., & Nackerud, S. (2013). Library use and undergraduate student outcomes: New evidence for students’ retention and academic success. portal: Libraries and the Academy, 13(2), 147-164.

Tay, A. (2016, 18 novembre). 5 Reasons why library analytics is on the rise [blogue]. Repéré au siteweb Musings About Librarianship.