Published December 3, 2015 | Version v0.0
Dataset Open

Code in Ecology Journals

  • 1. University of Washington
  • 2. University of Florida


This analysis assesses the way ecology journals handle code and software written for scientific research. The results of the analysis were used to create Figure 1 in Mislan et al. (2016).

Please cite the following paper if you use this data/code:

Mislan, K. A. S., J. M. Heer, and E.P. White. (2016) Elevating the status of code in ecology. Trends in Ecology and Evolution.


Acknowledgements: K.A.S. was supported by the Washington Research Foundation Fund for Innovation in Data-Intensive Discovery and the Moore/Sloan Data Science Environments Project at the University of Washington. This work was partially supported by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through grant GBMF4553 to J.M.H. and grant GBMF4563 to E.P.W.


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