Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/28044

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DC Field	Value	Language
dc.contributor.author	Zeffiro, Andrea	-
dc.contributor.author	Brodeur, Jason J	-
dc.contributor.author	Whitwell, Sarah	-
dc.contributor.author	Van, Allison	-
dc.contributor.author	Dion, Michelle	-
dc.contributor.author	Holtz Schramek, Evangeline	-
dc.contributor.author	Litt, Veronica	-
dc.date.accessioned	2022-12-10T16:28:06Z	-
dc.date.available	2022-10-25T15:03:19Z	-
dc.date.available	2022-12-10T16:28:06Z	-
dc.date.issued	2022-10	-
dc.identifier.uri	http://hdl.handle.net/11375/28044	-
dc.description.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.	en_US
dc.description.sponsorship	Social Sciences and Humanities Research Council of Canada	en_US
dc.language.iso	en	en_US
dc.subject	interdisciplinary data science training	en_US
dc.subject	data acumen	en_US
dc.subject	data literacy	en_US
dc.subject	data fluency	en_US
dc.subject	research support and acceleration	en_US
dc.subject	open educational resources	en_US
dc.subject	knowledge mobilization	en_US
dc.title	Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences	en_US
dc.type	Report	en_US
Appears in Collections:	Sherman Centre for Digital Scholarship Publications

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