About this resource

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

    Library Carpentry: Introduction to Working with Data (Regular Expressions)

    By Alexander Mendes, Alex Volkov, Angus Taggart, Belinda Weaver, BertrandCaron, Bianca Peterson, Christopher Edsall, Christopher Erdmann, Chuck McAndrew, Dan Michael Heggø, Dan Michael O. Heggø, Elizabeth Lisa McAulay, fdsayre, Felix Hemme, François Michonneau, James Baker, Janice Chan, Jeffrey Oliver, Jeremy Guillette, Jodi Schneider, Jonah Duckles, Katherine Koziar, Katrin Leinweber, Kunal Marwaha, lsult, Paul R. Pival, PH03N1X007, remerjohnson, Saskia Scheltjens, Shari Laster, Tim Dennis, yvonnemery

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

    Abstract

    This Library Carpentry lesson introduces librarians and others to working with data. This Library Carpentry lesson introduces people with library- and information-related roles to working with data using regular expressions. The lesson provides background on the regular expression language and how it can be used to match and extract text and to clean data.

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