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Scientific Data Management for ecology and evolution

Affiliated institutions: University of British Columbia

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Description: This course will develop best practices in data management in ecology and evolution research. We will use a combination of instruction, in-class activities and projects to guide students through all parts of the research data lifecycle, starting with the collection and storage of data, progressing through the organizing of data (database design, “tidy” data principles, data versioning), the cleaning of data (quality assessment, geospatial and taxonomic data standards), and ending with the sharing of data (metadata documentation, and archiving and accessing data in digital repositories following the new FAIR principles). Each student will work progressively through the course on an individual data management plan for the data they will collect - or have already collected - for their thesis. As well, students will work in small groups on preparing an existing biological dataset for archiving using R scripts. We believe this to be the first such graduate course in Canada and will give students the tools for managing their own research data as well as rescuing previously collected data. Instructors: Sally Taylor, Raymond Ng, Diane Srivastava, and postdocs from the Living Data Project

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