Class Readings

 

29 August: Writing Strategies 2 (Environment, Scheduling, Tools) 

 


5 September: Authorship

  1. Weltzin, J. F., Belote, R. T., Williams, L. T., Keller, J. K. and Engel, E. C. (2006), Authorship in ecology: attribution, accountability, and responsibility. Frontiers in Ecology and the Environment, 4: 435–441.
  2. Duffy, M. A. (2017). Last and corresponding authorship practices in ecologyEcology and evolution7(21), 8876-8887.
  3. Authorship Guidelines

10 September: Science of Science

  1. Fortunato, S., C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, and B. Uzzi. 2018a. Science of science. Science 359:eaao0185
  2. Smith MJ, Weinberger C, Bruna EM, Allesina S (2014) The Scientific Impact of Nations: Journal Placement and Citation Performance. PLoS ONE 9(10): e109195.

 


19 September: Writing Collaboratively

  1. Oliver, S. K., C. E. Fergus, N. K. Skaff, T. Wagner, P. N. Tan, K. S. Cheruvelil, and P. A. Soranno. 2018. Strategies for effective collaborative manuscript development in interdisciplinary science teams. Ecosphere 9:e02206.
  2. Oliver et al. 2018 Appendix S1: Authorship Guidelines for Data-intensive Research.
  3. Frassl, M. A., D. P. Hamilton, B. A. Denfeld, E. de Eyto, S. E. Hampton, P. S. Keller, S. Sharma, A. S. L. Lewis, G. A. Weyhenmeyer, C. M. O’Reilly, M. E. Lofton, and N. Catalan. 2018. Ten simple rules for collaboratively writing a multi-authored paper. PLoS Comput Biol 14:e1006508.
  4. Tools

26 September: Better Figures

  • Rougier NP, Droettboom M, Bourne PE (2014) Ten Simple Rules for Better Figures. PLoS Comput Biol 10(9): e1003833. https://doi.org/10.1371/journal.pcbi.1003833
  • Simon Goring, Kaitlin Stack Whitney, Aerin Jacob, et al. Making Scientific Content More Accessible. Authorea. October 19, 2017. (pre-print of a manuscript in revision) DOI: https://doi.org/10.22541/au.150844289.92609826
  • Post from Biotropica.org on making color figures color-blind accessible. Includes links to websites where you can simulate how your figures are interpreted, find palettes that are more accessible, learn why you should ditch the ‘rainbow’ gradient, etc.
  • Nathan Yau’s Flowing Data Website (his books are excellent too).
  • Kieran Healy’s “Data Visualization” book (link) and the Rpackage with all the code and data used in the book (link)
  • Some truly terrible figures (link).

10/10: Peer Review


10/22: Archiving Data and Code


10/31: Metrics, Altmetrics, and Amplifying Impact

WIS 6934