Understanding Maintenance as a Turing Way
summary
The Turing Way is an open guide for reproducible research that now reports 400+ contributors on GitHub and thousands of users, and it sustains itself by building maintenance systems: CI fixes that catch chapter build failures, an infrastructure maintainers group, localization via crowdin into Spanish/French/Turkish/Japanese/Portuguese, and recognition using the All Contributors bot. The project uses Jupyter Book, contributes upstream, runs book dashes and internships, and shifts culture from “move fast” to intentional maintenance.
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chapters (28)
- 0:00Introduction to the talk
- 0:24About the speakers and project
- 1:08What is the Turing Way
- 3:58Turing Way as a knowledge Commons
- 6:06Localizing data science globally
- 7:11Recognizing research roles
- 8:13Open collaboration practices
- 8:55Emerging governance structures
- 11:00Funding and sustainability challenges
- 12:22Balancing creation and maintenance
- 13:47Social context of open research
- 14:07Danny’s journey with the Turing Way
- 15:33Infrastructure maintenance role
- 16:36Onboarding new contributors
- 17:21Improving CI and workflow
- 18:04Jupyter Book and upstream contributions
- 19:06Reducing bus factor
- 19:49All contributors bot
- 20:31Translation and localization team
- 21:16Reviewing and editing backlog
- 21:39Supporting other open projects
- 22:00Meeting contributors where they are
- 22:43Infrastructure maintainers’ role
- 23:46Paradigm shift in research culture
- 24:27Long-term sustainability goals
- 25:11Community events and resources
- 26:37Other Turing Way initiatives
- 27:21Q&A session
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