Scientific Data Management

1 credits

This course will develop best practices in ecology and evolution data management,including such topics as “tidy” data principles and implementation in R, algorithm-based quality assessment, metadata best practices and coding, relational databases, data versioning, geospatial and taxonomic data standards, archiving and accessing data in digital repositories, and the new FAIR principles for scientific data management. *Note: Students may receive credit for one of BIOL 880AR or BIOL 835AS.*