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Developing a modern data workflow for evolving data

Glenda M. Yenni, Erica M. Christensen, Ellen K. Bledsoe, Sarah R. Supp, Renata M. Diaz, Ethan P. White, S.K. Morgan Ernest
doi: https://doi.org/10.1101/344804

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doi 
https://doi.org/10.1101/344804
History 
  • July 24, 2018.

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Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Glenda M. Yenni1,
  2. Erica M. Christensen1,
  3. Ellen K. Bledsoe2,
  4. Sarah R. Supp3,
  5. Renata M. Diaz2,
  6. Ethan P. White1,4 and
  7. S.K. Morgan Ernest1,5
  1. 1Department of Wildlife Ecology and Conservation, University of Florida
  2. 2School of Natural Resources and the Environment, University of Florida
  3. 3Data Analytics Program, Denison University
  4. 4Informatics Institute, University of Florida
  5. 5Biodiversity Institute, University of Florida
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Posted July 24, 2018.
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Developing a modern data workflow for evolving data
Glenda M. Yenni, Erica M. Christensen, Ellen K. Bledsoe, Sarah R. Supp, Renata M. Diaz, Ethan P. White, S.K. Morgan Ernest
bioRxiv 344804; doi: https://doi.org/10.1101/344804
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