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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 |
Files in This Item:
File | Description | Size | Format | |
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Interdisciplinary Data Science Training.pdf | 362.93 kB | Adobe PDF | View/Open |
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