Obtaining and Applying Public Data for Training Students in Technical Statistical Writing: Case Studies with Data from U.S. Geological Survey and General Ecological Literature

References

• American Statistical Association. (2014), Curriculum Guidelines for Undergraduate Programs in Statistical Science, Alexandria, VA: American Statistical Association.
   Google Scholar
• Baggerly, K. A., and Berry, D. A. (2011), “Reproducible Research,” AMSTAT News: The Membership Magazine of the American Statistical Association, American Statistical Association, pp. 16–17.
   Google Scholar
• Borer, E. T., Seabloom, E. W., Mitchell, C. E., and Power, A. G. (2010), “Local Context Drives Infection of Grasses by Vector-borne Generalist Viruses: Local vs. Regional Context and Infection rRisk,” Ecology Letters, 13, 810–818. DOI: 10.1111/j.1461-0248.2010.01475.x.
   PubMed Web of Science ®Google Scholar
• Borer, E. T., Seabloom, E. W., Mitchell, C. E., and Power, A. G. (2016), “Data From: Local Context Drives Infection of Grasses by Vector-borne Generalist Viruses,” Dryad, Dataset, DOI: 10.5061/dryad.22dt8.
   Google Scholar
• Bozeman, B., and Boardman, C. (2009), “Broad Impacts and Narrow Perspectives: Passing the Buck on Science and Social Impacts,” Social Epistemology, 23, 183–198. DOI: 10.1080/02691720903364019.
   Google Scholar
• Cupp, A., Tix, J., Smerud, J., Erickson, R., Fredricks, K., Amberg, J., Suski, C., and Wakeman, R. (2017a), “Using Dissolved Carbon Dioxide to Alter the Behavior of Invasive Round Goby,” Management of Biological Invasions, 8, 567–574. DOI: 10.3391/mbi.2017.8.4.12.
   Web of Science ®Google Scholar
• Cupp, A., Tix, J., Smerud, J., Erickson, R., Fredricks, K., Amberg, J., Suski, C., and Wakeman, R. (2017b), Using Dissolved Carbon Dioxide to Alter the Behavior of Invasive Round Goby, Reston, VA: U.S. Geological Survey Data Release. DOI: 10.5066/F7BZ650Q.
   Google Scholar
• Deming, W. E. (1972), “Code of Professional Conduct: A Personal View,” International Statistical Review/Revue Internationale de Statistique, 40, 215. DOI: 10.2307/1402763.
   Web of Science ®Google Scholar
• Engel, J. (2017), “Statistical Literacy For Active Citizenship: A Call for Data Science Education,” Statistics Education Research Journal, 16, 44–49. DOI: 10.52041/serj.v16i1.213.
   Google Scholar
• Erickson, R. A., Burnett, J. L., Wiltermuth, M. T., Bulliner, E. A., and Hsu, L. (2021), “Paths to Computational Fluency for Natural Resource Educators, Researchers, and Managers,” Natural Resource Modeling, 34, e12318. DOI: 10.1111/nrm.12318.
   Web of Science ®Google Scholar
• Faundeen, J., Burley, T. E., Carlino, J. A., Govoni, D. L., Henkel, H. S., Holl, S. L., Hutchison, V. B., Martín, E., Montgomery, E. T., Ladino, C., Tessler, S., and Zolly, L. S. (2014), “The United States Geological Survey Science Data Lifecycle Model,” Open-File Report, Report, Reston, VA, p. 12. DOI: 10.3133/ofr20131265.
   Google Scholar
• Faundeen, J., and Hutchison, V. (2017), “The Evolution, Approval and Implementation of the U.S. Geological Survey Science Data Lifecycle Model,” Journal of eScience Librarianship, 6, e1117. DOI: 10.7191/jeslib.2017.1117.
   Google Scholar
• Kates, D., Dennis, C., Noatch, M. R., and Suski, C. D. (2012), “Response of Native and Invasive Fishes to Carbon Dioxide: Potential for a Nonphysical Barrier to Fish Dispersal,” Canadian Journal of Fisheries and Aquatic Sciences, 69, 1748–1759. DOI: 10.1139/f2012-102.
   Web of Science ®Google Scholar
• Kenett, R., and Thyregod, P. (2006), “Aspects of Statistical Consulting not Taught by Academia,” Statistica Neerlandica, 60, 396–411. DOI: 10.1111/j.1467-9574.2006.00327.x.
   Web of Science ®Google Scholar
• Lanie, A. D., Jayaratne, T. E., Sheldon, J. P., Kardia, S. L. R., Anderson, E. S., Feldbaum, M., & Petty, E. M. (2004), “Exploring the Public Understanding of Basic Genetic Concepts,” Journal of Genetic Counseling, 13, 305–320. DOI: 10.1023/B:JOGC.0000035524.66944.6d.
   PubMedGoogle Scholar
• Malin, B. A., Emam, K. E., and O’Keefe, C. M. (2013), “Biomedical Data Privacy: Problems, Perspectives, and Recent Advances,” Journal of the American Medical Informatics Association, 20, 2–6. DOI: 10.1136/amiajnl-2012-001509.
   PubMed Web of Science ®Google Scholar
• Mishra, P., Pandey, C., Singh, U., Keshri, A., and Sabaretnam, M. (2019), “Selection of Appropriate Statistical Methods for Data Analysis,” Annals of Cardiac Anaesthesia, 22, 297–301. DOI: 10.4103/aca.ACA_248_18.
   PubMed Web of Science ®Google Scholar
• OPEN Data Act. (2007), OPEN Data Act, U.S. Code.
   Google Scholar
• Peters, I., Kraker, P., Lex, E., Gumpenberger, C., and Gorraiz, J. I. (2017), “Zenodo in the Spotlight of Traditional and New Metrics,” Frontiers in Research Metrics and Analytics, 2, 13. DOI: 10.3389/frma.2017.00013.
   Google Scholar
• Schloesser, N. (2017), Sea Lamprey Quantitative Environmental DNA Surveillance: Data, Reston, VA: U.S. Geological Survey Data Release. DOI: 10.5066/F7DR2TD0.
   Google Scholar
• Schloesser, N., Merkes, C. M., Rees, C., Amberg, J. J., Steeves, T., and Docker, M. (2018), “Correlating Sea Lamprey Density with Environmental DNA Detections in the Lab,” Management of Biological Invasions, 9, 483–495. DOI: 10.3391/mbi.2018.9.4.11.
   Web of Science ®Google Scholar
• Wickham, H. (2014), “Tidy Data,” Journal of Statistical Software, 59, 1–23. DOI: 10.18637/jss.v059.i10.
   PubMed Web of Science ®Google Scholar