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SUMMARY:Introduction to Digital Storytelling with Twine
DESCRIPTION:15 July 2026 @ 11:00 – 12:30\, Pacific Daylight Time \n\n\n\nThis workshop is a brief introduction to the Digital Storytelling tool\, Twine. \n\n\n\nAt the end of this workshop\, you will be able to: \n\n\n\n\nArticulate best practices around creating web-based minimal computing projects\n\n\n\nCreate a basic Twine project with multimedia elements\n\n\n\nPublish their project to the web\n\n\n\n\nThis workshop is part of the Digital Humanities workshop series presented by the UBC Library Research Commons.
URL:https://ccdhhn.ca/workshop/introduction-to-digital-storytelling-with-twine/
LOCATION:The University of British Columbia\, 1958 Main Mall\, Vancouver\, British Columbia\, V62 1Z2\, Canada
CATEGORIES:1-4 hour workshop
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SUMMARY:Data Bites - Introduction to Programmatic Data De-identification with R
DESCRIPTION:Workshop: Programmatic Data De-identification with R \n\n\n\nThis practical workshop\, delivered by the UBC Library Research Data Management team\, introduces programmatic approaches to de-identifying sensitive research data in R. Through hands-on exercises using a realistic survey dataset\, participants will apply a structured workflow\, from assessing privacy risks to exporting a shareable\, de-identified dataset. \n\n\n\nParticipants will learn how to: \n\n\n\n\nIdentify privacy risks in research data\, including direct identifiers\, dates\, geographic variables\, and free-text fields.\n\n\n\nApply de-identification methods in R using dplyr\, including removal\, generalization\, suppression\, anonymization\, and pseudonymization.\n\n\n\nRun quality assurance checks to confirm a dataset is sufficiently de-identified before sharing.\n\n\n\nExport a de-identified dataset and a data key file\, and understand best practices for securely storing each.\n\n\n\n\n— \n\n\n\nNote 1: Participants familiar with R and RStudio are welcome to follow along on their own workstations. If you are new to R\, we recommend watching first to learn how R can be used for analysis and data de-identification\, then practicing later with the resources introduced during the session. \n\n\n\nDate: Wednesday\, July 15\, 2026  \n\n\n\nTime: 10:00am – 11:00am (British Columbia)  \n\n\n\nPresenters: Eugene Barsky\, Vanessa Choy\, Grigory Artazyan
URL:https://ccdhhn.ca/workshop/data-bites-introduction-to-programmatic-data-de-identification-with-r/
LOCATION:British Columbia
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