Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences

Zeffiro, Andrea; Brodeur, Jason J; Whitwell, Sarah; Van, Allison; Dion, Michelle; Holtz Schramek, Evangeline; Litt, Veronica

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Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences

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Interdisciplinary Data Science Training.pdf (379.65 KB)

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2022-10

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Holtz Schramek, Evangeline

Litt, Veronica

Abstract

This report documents the outcomes and key learnings that stemmed from the 2020-2021 SSHRC funded The Relevant Research Series. A workshop series jointly organized and hosted by the Sherman Centre for Digital Scholarship and Spark: a centre for social research innovation at McMaster University. The recommendations can inform future interdisciplinary data science training initiatives at McMaster University and beyond.

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interdisciplinary data science training, data acumen, data literacy, data fluency, research support and acceleration, open educational resources, knowledge mobilization

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http://hdl.handle.net/11375/28044.1

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Sherman Centre for Digital Scholarship Publications
Relevant Research Workshop Series

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Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences

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