Data Cleaning Workshop led with Pam Soltis for BCEENET in Summer 2020.
Upon completion of this module, each student should be able to:
- Access biodiversity data from open sources.
- Use descriptive, retrievable, and consistent file names to manage datasets.
- Identify common problems with digital datasets.
- Rectify common problems with digital datasets.
- Apply disciplinary knowledge for smart data cleaning.
- Explain the importance of reproducible data and cleaning steps.
- Document data cleaning steps to provide reproducibility.
Cite this work:
Gaynor, M. (2020). Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio. Biodiversity Literacy in Undergraduate Education, QUBES Educational Resources. doi:10.25334/DRGD-F069.