Description
I share an office with Piper Lovegreen, grad student in the Landscape Ecophysiology And Function (LEAF) lab. We got to chatting about data management prior to Piper’s summer field season - she’s collecting a lot of data.
We thought that it could be useful for grad students about to embark on a field season to have a sense of how they would manage their data before heading out to collect it. We polled grads in the department on what they were most interested in learning about, and focused our workshop on the following topics given survey responses:
- Data processing
- Data storage
- Data reproducibility
- Data redundancy
- Field data collection
We designed a 2 hour workshop for grads to think through their data management plans, and invited our peers to contribute their wisdom. At the end of the workshop, participants had a plan for collecting, organizing, and processing their data. We’re hoping to make this an annual event, and the dream would be to integrate this material into the intro series for graduate students in EEMB.
Links
Code resource (my first time making a book with Quarto!)
More resources
Cooper, N. and Hsing, P-Y eds. British Ecological Society Reproducible Code guide
Ivimey‐Cook, E. R. et al. (2023). Implementing code review in the scientific workflow: Insights from ecology and evolutionary biology. Journal of Evolutionary Biology, Volume 36, Issue 10, 1347–1356. https://doi.org/10.1111/jeb.14230
Jenkins, G. B. et al. (2023). Reproducibility in ecology and evolution: Minimum standards for data and code. Ecology and Evolution, 13, e9961. https://doi.org/10.1002/ece3.9961
Vriend, S. et al. (2024). SORTEE 17-Step checklist for reproducible code (part of a larger workshop on code review)