26 Association of Research Libraries Research Library Issues 298 2019 partners to our efforts. Intellectually, libraries and librarians are in the information business. Libraries at NYU, UC Berkeley, and UW, and many other research libraries in Canada and the US have incorporated data science education in their collecting and service frameworks. “Library spaces have been transformed—among other things—into campus centers for data science research, training, and services, with open floor plans and furnishings that are adaptable to a range of activities that promote and support data science research and learning.12 Endnotes 1. “About,” Moore-Sloan Data Science Environments, accessed June 14, 2019, http://msdse.org/about/. 2. A partial list is available under “Other Data Science Centers” on “Environments,” Moore-Sloan Data Science Environments, accessed June 14, 2019, http://msdse.org/environments/#others. 3. The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, ed. Justin Kitzes, Daniel Turek, and Fatma Deniz (Oakland, CA: University of California Press, 2018), https://www.practicereproducibleresearch.org/. 4. Luba Katz, Evaluation of the Moore-Sloan Data Science Environments: Final Report, (Abt Associates, 2019), iii, https://web.archive.org/ web/20190501190246/http://msdse.org/files/ABT_MSDSE_Eval_ Report_Feb2019.pdf. 5. “Reproducibility and Open Science,” Moore-Sloan Data Science Environments, accessed June 26, 2019, http://msdse.org/ themes/#reproducibility. 6. Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jacob T. VanderPlas, and Ariel Rokem, “Hack Weeks as a Model for Data Science Education and Collaboration,” Proceedings of the National Academy of Sciences 115, no. 36 (Sep 2018): 8872–8877, https:// doi.org/10.1073/pnas.1717196115.
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