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

Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences

Files

Interdisciplinary Data Science Training.pdf (362.93 KB)

Date

2022-10

Authors

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.

Keywords

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

URI

http://hdl.handle.net/11375/28044

Collections

Sherman Centre for Digital Scholarship Publications

Full item page

Version History

You are currently viewing version 2 of the item.

Now showing 1 - 2 of 2

Version	Date	Summary
2*	2022-12-10 11:23:53
1	2022-10-25 11:03:19

* Selected version

Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences

Files

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Keywords

Citation

URI

Collections

Endorsement

Review

Supplemented By

Referenced By

Version History