The Turing Way, JupyterHub & Organisational Mycology collaboration on CZI Essential Open Source Software Diversity & Inclusion Grant
This repository is for openly tracking the work of The Turing Way, JupyerHub & Orgnisational Mycology during the CZI EOSS Diversity & Inclusion grant. You can read more on this in the interim report delivered to CZI in 2023: https://docs.google.com/document/d/1pSU9kG_XDOSTF4JcbIt18hep1rCHIjuUYuYi5mg0q-0/edit?usp=sharing
This repository operationalises The Turing Way recommendations for structuring project repositories to support reproducibility in data science projects. This repository includes files and directories recommended for enabling reproducibility and collaboration in a project, as well as sharing of research objects.
This repository follows the recommendations and guidance provided in The Turing Way handbook to data science.
You can read more via the Statement of Work here: XXXX [to be updated when the SOW has been presented]
The JupyterHub community is looking to enhance their capacity building, community growth and development. They are collaborating with The Turing Way project at the Alan Turing Institute to coordinate and generalise learnings across open source communities of practice. The work from Organizational Mycology is meant to support these efforts by 1) helping to develop a community engagement strategy by identifying blockers to contributor participation, 2) supporting the refresh of the Team Compass, 3) working on training for new contributors, and 4) embedding inclusive practices in the JupyterHub community. This work builds on Phase 1 of the grant, delivered by Sarah Gibson. More information on the first phase of the grant can be found here: https://docs.google.com/document/d/1pSU9kG_XDOSTF4JcbIt18hep1rCHIjuUYuYi5mg0q-0/edit?usp=sharing
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Scope of Work: https://docs.google.com/document/d/1M2kfwvT7KHfgWd2Qph3BIM7seyrb8Lt23cVE_1HzvMw/edit
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Outcomes:
- “Voices of the JupyterHub Community” Research and Report
- Leadership Workshops
- Develop Four Community Based Initiatives
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Roadmap:
Jonah Duckles, Beth Duckles, Dan Sholler
Kirstie Whitaker, Arielle Bennett, Léllé Demertzi
Min Ragan-Kelley, Chris Holdgraf
- Guidelines: Contribution Guidelines for contributors COMING SOON
- Code of Conduct: Code of Conduct ensures a respectful project environment.
- Resource Plans: Details on available resources and recommended practices for the project team. COMING SOON
This repository is licensed under a Creative Commons Atrtribution 4.0 License.
- Citation Instructions: How to cite the project.
- Acknowledgment: Recognising contributions by different members.
- Reach Out: Contact Arielle Bennett abennett@turing.ac.uk details for questions, feedback, or ideas.
Inspired by Cookie Cutter Data Science.
├── LICENSE
├── README.md <- The top-level README for users of this project.
├── CODE_OF_CONDUCT.md <- Guidelines for users and contributors of the project.
├── CONTRIBUTING.md <- Information on how to contribute to the project.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── project_management <- Meeting notes and other project planning resources
│ │
│ │
└──
Maintainers
This repository is maintained by Arielle Bennett and Léllé Demertzi at The Alan Turing Institute. The original template was set up and maintained by Malvika Sharan to support the work of Open Research Community Management and Research Application Management teams under the Tools, Practices and Systems Research Programme at The Alan Turing Institute.
Please create an issue to share references or ideas related to the development of this project.
For any organisation-related queries or concerns, you can directly reach out to Malvika Sharan by emailing msharan@turing.ac.uk.
This work is licensed under the MIT license (code) and Creative Commons Attribution 4.0 International license (for documentation). You are free to share and adapt the material for any purpose, even commercially, as long as you provide attribution (give appropriate credit, provide a link to the license, and indicate if changes were made) in any reasonable manner, but not in any way that suggests the licensor endorses you or your use and with no additional restrictions.
This repository uses the template created and maintained by The Turing Way team members and shared under CC-BY 4.0 for reuse: https://github.com/alan-turing-institute/reproducible-project-template.
Thanks goes to these wonderful people (emoji key):
 Malvika Sharan 🤔 🖋 |
 Emma Karoune 🤔 📖 |
 Anne Lee Steele 🤔 📖 |
 Vicky Hellon 🤔 📖 |
 Jennifer Ding 🖋 📖 🤔 |
 Hilmar Lapp 🐛 |
This project follows the all-contributors specification. Contributions of any kind welcome!