About this resource

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

    Data Management with SQL for Social Scientists

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

    Abstract

    This is an alpha lesson to teach Data Management with SQL for Social Scientists, We welcome and criticism, or error; and will take your feedback into account to improve both the presentation and the content. Databases are useful for both storing and using data effectively. Using a relational database serves several purposes. It keeps your data separate from your analysis. This means there’s no risk of accidentally changing data when you analyze it. If we get new data we can rerun a query to find all the data that meets certain criteria. It’s fast, even for large amounts of data. It improves quality control of data entry (type constraints and use of forms in Access, Filemaker, etc.) The concepts of relational database querying are core to understanding how to do similar things using programming languages such as R or Python. This lesson will teach you what relational databases are, how you can load data into them and how you can query databases to extract just the information that you need.

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