Data Privacy and Academic Libraries: Non-PII, PII, and Librarians’ Reflections (Part 2)

References

• Albanese, A. R. (2005). The best thing a library can be is open. Library Journal, 130(15), 42–44.
   Web of Science ®Google Scholar
• Asher, A. (2017). Evaluating the effect of course-specific library instruction on student success. Retrieved from https://scholarworks.iu.edu/dspace/handle/2022/21277.
   Google Scholar
• Asher, A., Briney, K., Gardner, G. J., Hinchliffe, L. J., Nowviskie, B., Salo, D., Shorish, Y., & Goodwin, R. (2018). Ethics in research use of library patron data: Glossary and explainer. Retrieved from https://doi.org/10.17605/OSF.IO/XFKZ6.
   Google Scholar
• Conole, G., Gasevic, D., Long, P., & Siemens, G. (2011). Message from the LAK 2011 general & program chairs. Proceedings of the 1st International Conference on Learning Analytics and Knowledge, LAK 2011, Banff, AB, Canada, 1. Retrieved from http://portalparts.acm.org/2100000/2090116/fm/frontmatter.pdf?ip=71.115.155.234&CFID=763803867&CFTOKEN=66235376
   Google Scholar
• Cox, B., & Jantti, M. (2012). Discovering the impact of library use and student performance. Educause Review, 18, 1–9. Retrieved from https://er.educause.edu/articles/2012/7/discovering-the-impact-of-library-use-and-student-performance
   Google Scholar
• Dixon, P. (2008). Ethical issues implicit in library authentication and access management: Risks and best practices. Journal of Library Administration, 47(3–4)), 141–162. doi:10.1080/01930820802186480
   Google Scholar
• Driscoll, L., & Mott, A. (2008). After midnight: Late night library services. ARL occasional paper 23. Washington, D.C.: Association of Research Libraries.
   Google Scholar
• Goodall, G., & Pattern, D. (2011). Academic library non/low use and undergraduate achievement: A preliminary report of research in progress. Library Management, 32(3), 159–170. doi:10.1108/01435121111112871
   Google Scholar
• Grabarek Roper, K., & Sobel, K. (2012). Anonymity versus perceived patron identity in virtual reference transcripts. Public Services Quarterly, 8(4), 297–315. doi:10.1080/15228959.2012.730396
   Google Scholar
• Gremmels, G. S. (2013). Staffing trends in college and university libraries. Reference Services Review, 41(2), 233–252. doi:10.1108/00907321311326165
   Google Scholar
• Haddow, G. (2013). Academic library use and student retention: A quantitative analysis. Library & Information Science Research, 35, 127–136. doi:10.1016/j.lisr.2012.12.002
   Web of Science ®Google Scholar
• Jones, J. L. (2011). Using library swipe-card data to inform decision making. Georgia Library Quarterly, 48(2), 11–13. Retrieved from https://digitalcommons.kennesaw.edu/glq/vol48/iss2/4
   Google Scholar
• Jones, K. M. L., & Salo, D. (2018). Learning analytics and the academic library: Professional ethics commitments at a crossroads. College & Research Libraries, 79(3), 304–323. doi:10.5860/crl.79.3.304
   Web of Science ®Google Scholar
• Kazmer, M. M., Burnett, G., & Dickey, M. H. (2007). Identity in customer service chat interaction: Implications for virtual reference. Library & Information Science Research, 29(1), 5–29. doi:10.1016/j.lisr.2006.10.006
   Web of Science ®Google Scholar
• Laaker, S. (2011). Keeping the doors open: Exploring 24-hour library access at Washington University in Saint Louis. Research Library Issues, 277, 15–25. doi:10.29242/rli.277.3
   Google Scholar
• Landgraf, G. (Sep/Oct, 2018). Data collection and privacy. Balancing information needs with patron protection. American Libraries, 49(9/10), 14–15.
   Google Scholar
• Martell, C. (2008). The absent user: Physical use of academic library collections and services continues to decline 1995–2006. The Journal of Academic Librarianship, 34(5), 400–407. doi:10.1016/j.acalib.2008.06.003
   Web of Science ®Google Scholar
• Massey, M. E. (1976). Market analysis and audience research for libraries. Library Trends, 24(3), 473–482. Retrieved from http://hdl.handle.net/2142/6866\
   Web of Science ®Google Scholar
• Michalak, R., & Rysavy, M. D. (2019). Assessing library customer interactions and staff satisfaction. Journal of Library Administration , 59(3), 314–324. doi:10.1080/01930826.2019.1583020
   Web of Science ®Google Scholar
• Montengro, M., Clasing, P., Kelly, N., Gonzalez, C., Jara, M., Alarcon, R., … Saurina, E. (2016). Library resources and students’ learning outcomes: Do all the resources have the same impact on learning? The Journal of Academic Librarianship, 42(5), 551–556. doi:10.1016/j.acalib.2016.06.020
   Web of Science ®Google Scholar
• Nackerud, S., Fransen, J., Peterson, K., & Mastel, K. (2013). Analyzing demographics: Assessing library use across the institution. portal: Libraries and the Academy, 13(2), 131–45.
   Web of Science ®Google Scholar
• Nolen, D. S., Powers, A. C., Zhang, L., Yue, X., Cannady, R. E., & Li, J. (2012). Moving beyond assumptions: The use of virtual reference data in an academic library. Portal: Libraries & the Academy, 12(1), 23–40. Retrieved from http://muse.jhu.edu/journals/portal_libraries_and_the_academy/v012/12.1.nolen.pdf23
   Web of Science ®Google Scholar
• Oakleaf, M. (2016). Getting ready & getting started: Academic librarian involvement in institutional learning analytics initiatives. The Journal of Academic Librarianship, 42(4), 472–475. doi:10.1016/j.acalib.2016.05.013
   Web of Science ®Google Scholar
• 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), 454–461. doi:10.1016/j.acalib.2017.08.008
   Web of Science ®Google Scholar
• Renaud, J., Britton, S., Wang, D., & Ogihara, M. (2015). Mining library and university data to understand library use patterns. The Electronic Library, 33(3), 355–372. doi:10.1108/EL-07-2013-0136
   Web of Science ®Google Scholar
• Robertshaw, M.B., & Asher, A. in review. Unethical numbers. A meta-analysis of library impact studies.
   Google Scholar
• Rubel, A. P., & Jones, K. (2016). Data analytics in higher education: Key concerns and open questions. University of St. Thomas Journal of Law and Public Policy. Retrieved from https://ssrn.com/abstract=2905985
   Google Scholar
• Rysavy, M. D. T., & Michalak, R. (2019). Data privacy and academic libraries: Non-PII, PII, and librarians’ reflections (Part 1). Journal of Library Administration, 59(5), 532–547. doi:10.1080/01930826.2019.1616973
   Web of Science ®Google Scholar
• Sanders, M., & Hodges, C. (2014). An overnight success? Usage patterns and demographics of academic library patrons during the overnight periods from 11 pm – 8 am. Journal of Access Services, 11(4), 309–320. doi:10.1080/15367967.2014.945121
   Google Scholar
• Scarletto, E. A., Burhanna, K. J., & Richardson, E. (2013). Wide awake at 4 AM: A study of late night user behavior, perceptions and performance at an academic library. The Journal of Academic Librarianship, 39(5), 371–377. doi:10.1016/j.acalib.2013.02.006
   Web of Science ®Google Scholar
• Soria, K. M., Fransen, J., & Nackerud, S. (2017). The impact of academic library resources on undergraduates’ degree completion. College & Research Libraries, 78(6), 812–823. doi:10.5860/crl.78.6.812
   Web of Science ®Google Scholar
• Stoffel, B., & Tucker, T. (2004). E-mail and chat reference: Assessing patron satisfaction. Reference Services Review, 32(2), 120–140. doi:10.1108/00907320410537649
   Google Scholar
• Sweeney, M., & Lubowicka, K. (2019). What Is PII, non-PII, and personal data? Piwik. Retrieved from https://piwik.pro/blog/what-is-pii-personal-data/
   Google Scholar
• Tummon, N., & McKinnon, D. (2018). Attitudes and practices of Canadian academic librarians regarding library and online privacy: A national study. Library & Information Science Research, 40(2), 86–97. doi:10.1016/j.lisr.2018.05.002
   Web of Science ®Google Scholar