38 Association of Research Libraries Research Library Issues 298 2019 7. Monica Poelchau, Christopher Childers, Gary Moore, Vijaya Tsavatapalli, Jay Evans, Chien-Yueh Lee, Han Lin, Jun-Wei Lin, and Kevin Hackett, “The i5k Workspace@NAL—Enabling Genomic Data Access, Visualization and Curation of Arthropod Genomes,” Nucleic Acids Research 43, no. D1 (January 28, 2015): D714–D719, https://doi. org/10.1093/nar/gku983. 8. “LCA Commons,” Ag Data Commons, USDA National Agricultural Library, 2015, https://doi.org/10.15482/USDA.ADC/1173236. 9. “Ag Data Commons,” re3data.org - Registry of Research Data Repositories, editing status November 13, 2018, accessed June 14, 2019, https://doi.org/10.17616/R3G051. 10. Eric Ries, The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses (New York: Crown Books, 2011). 11. Wikipedia, s.v. “Data science,” last edited June 8, 2019, https:// en.wikipedia.org/wiki/Data_science. 12. David Donoho, “50 Years of Data Science,” MIT Computer Science and Artificial Intelligence Laboratory course server, September 18, 2015, http://courses.csail.mit.edu/18.337/2015/ docs/50YearsDataScience.pdf. 13. Peter Krensky and Jim Hare, Hype Cycle for Data Science and Machine Learning (Stamford, CT: Gartner, July 23, 2018), https://www.gartner. com/en/documents/3883664. 14. Hadley Wickham, “Tidy Data,” Journal of Statistical Software 59, no. 10 (2014): 1–23, https://doi.org/10.18637/jss.v059.i10. 15. Cathy O'Neil and Rachel Schutt, Doing Data Science: Straight Talk from the Frontline (Sebastopol, CA: O'Reilly Media, 2013). 16. Adam Kriesberg, Kerry Huller, Ricardo Punzalan, and Cynthia Parr, “An Analysis of Federal Policy on Public Access to Scientific Research
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