About this resource

    Type of resources
    Module
    Education level(s)
    Graduate / Professional
    Primary user(s)
    student, teacher
    Subject area(s)
    Computer Science, Information Science, Biology, Measurement and Data
    Language(s)
    English
    Cluster
    Transparency and Reproducibility in Computation and Analysis, FAIR Data and Materials
    Last updated
    1 January 2020
    Module

    Data Carpentry for Biologists

    By Ethan White, Zachary Brym

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    Level Graduate / Professional · For student, teacher · Language English

    Abstract

    The Biology Semester-long Course was developed and piloted at the University of Florida in Fall 2015. Course materials include readings, lectures, exercises, and assignments that expand on the material presented at workshops focusing on SQL and R.

    Keywords Analysis · Data · Education · Open Scholarship Tools and Technologies · R · Reproducibility · Research Data Management Tools · Researchers · SQL