• Wed, Apr 14, 2021 — 1:00 PM

    Presented by Jen Darragh & Sophia Lafferty-Hess

    This workshop will explore the many different ethical issues that can arise with data management and sharing and strategies to address those issues to ensure that goals set by publishers and funders around reproducibility and reuse can be met. How are researchers expected to comply with data sharing policies and practices when they do not actually own the data or ensure disclosure protection for human participants? Likewise how can researchers ethically collect, handle, and share data from certain communities, such as Indeginous People? Topics covered will include proper consent procedures, de-identification, the impact of privacy laws on data sharing, and the application of diversity and equity principles to open science and data sharing.

    This workshop (GS717.04) is eligible for 2 hours of Graduate School RCR Credits and the 200-level RCR for faculty and staff.

    This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.

    The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at any time prior to the conclusion of the workshop.

    Data Management

  • Thu, Apr 15, 2021 — 1:30 PM

    Presented by John Little

    Bulding on knowledge from earlier Rfun workshops, learn basic text mining techniques with RStudio and critical packages. Attendees will analyze public domain novels by Jane Austen, wrangle text-data into submission, tokenize corpora, generate word clouds, and be introduced to introductory sentiment analysis.

    Prerequisites

    • Introductory familiarity with R and the Tidyverse (e.g. quickStart with R, part 1)
    • Install R and RStudio on your computer
    • tidyverese, tidytext, janeaustenr, wordcloud2 and packages installed in your R environment

    install.packages(c("tidyverse", "tidytext", "janeaustenr", "wordcloud2"))

    This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. 

    The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at anytime prior to the conclusion of the workshop.

    Data Science

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