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Classroom Contents
A Beginner's Guide to Open Source Metrics and Analysis
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- 1 Intro
- 2 Sophias background
- 3 Data is messy
- 4 Data issues
- 5 Ambiguity
- 6 Source Code Logs
- 7 Inconsistencies
- 8 Bots
- 9 Bots on Github
- 10 People
- 11 Layers
- 12 Accountability
- 13 PI
- 14 Data Sharing
- 15 Policies Licenses
- 16 Policy and Regulation
- 17 Privacy Documentation
- 18 Good Data Practices
- 19 Misleading Metrics
- 20 Tools
- 21 Conclusion
