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Same school, new name. The School of Informatics and Computing is changing its name effective January 11, 2023. Learn more about the name change

LIS-S 406 Scientific Data

3 credits

  • Prerequisites: None
  • Delivery: On-Campus, Online

    • This course reviews data practices in the sciences from the perspectives of multiple scientific domains. Topics include data sources, management, lifecycles, description, organization, workflows, repositories, and analytical tools for the sciences. Additionally, students explore newly developing technologies and analytical practices including data visualization and big data methods.

    Learning Outcomes

    1. Compare the role of scientific data in academia, government, industry, and other organizations.
    2. Summarize emerging data practices in the sciences.
    3. Evaluate best practices, tools, and technologies for scientific data.
    4. Create data management, workflow, and analysis plans for sample scientific data.

    Syllabi

    There is not a syllabus available for this course.