Report Open Access
Analysis of the Carpentries' Long-Term Feedback Survey
Kari L. Jordan;
Ben Marwick;
Belinda Weaver;
Naupaka Zimmerman;
Jason Williams;
Tracy Teal;
Erin Becker;
Jonah Duckles;
Beth Duckles;
Elizabeth Wickes
Through the generosity of the Moore Data Driven Discovery Initiative, assessment work has been undertaken across both Data and Software Carpentry to help build an evidence base to complement the large body of existing anecdotal evidence that Carpentry-style training is both useful and effective in improving researchers’ work practices.This analysis of how Carpentries workshops have impacted learners long-term has been extremely insightful. In general, our workshops are helping learners improve their efficiency with managing and analyzing data. Learners are taking advantage of online resources to improve their skills, and many see value in becoming involved longer term with our community.
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report.html
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report.pdf
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| Views | 436 | 437 |
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| Data volume | 1.7 GB | 1.7 GB |
| Unique views | 416 | 417 |
| Unique downloads | 637 | 636 |
- Publication date:
- October 31, 2017
- DOI:
-
- Keyword(s):
- Assessment Communities of Practice Data Science Workshops Data-driven discovery
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International