owned this note
owned this note
Published
Linked with GitHub
# New Chapter Announcement
:::info
**Congratulations on publishing a new chapter with _The Turing Way_!**
This document is to co-draft how we communicate your addition. Some people like to include further context about how the chapter was created, who was involved, and all sorts of background information that would otherwise be lost in Github issues, emails, and slack messages.
I have included some sample text below that you are very free to edit or change for clarity. You can use the following to check the character count for a thread: https://getchirrapp.com/
:::
These posts will be edited slightly for clarity, and posted to our main community channels, as well as on our newsletter:
- [x] Twitter
- [x] Linkedin
- [x] Mastodon
- [x] Slack
- [x] Newsletter
Previous examples of new chapter announcements include:
- Data Hazards: https://x.com/turingway/status/1762895253193797936
- Electronic Lab Notebooks: https://x.com/turingway/status/1767568528557613345
- Environmental Impact of Digital Research: https://x.com/turingway/status/1712858881267777780
## Twitter
⚠️🚨NEW CHAPTER ALERT!🚨⚠️
A new sub-chapter on Data Missingness is now live!
Check out the chapter here: https://book.the-turing-way.org/project-design/missing-data
You can read more about the original chapter proposal in this issue:
https://github.com/the-turing-way/the-turing-way/issues/3593
And learn more about the review process in this pull request (now closed!): https://github.com/the-turing-way/the-turing-way/pull/3709
This chapter was concieved and written by Zeena Shawa (@ShawaZeena), a PhD student at University College London (@ucl) and a Turing-Roche Community Scholar (@Roche + @turinginst).
The Community Scholar Scheme run by the @turinginst -@Roche Partnership supports 10 PhD students to embed themselves within the partnership and develop a community project related to data science in health. @ShawaZeena developed this chapter as her project.
The availability & size of datasets are increasing. However, the completeness & quality of these datasets is not always guaranteed. Missing data can happen for many reasons. During her PhD, missing data has been a frequent issue, limiting the statistical power of her analysis.
This is not unique to just Zeena's PhD. She wrote this chapter as an open resource, from a non-expert's perspective, for readers of any experience level. All feedback and contributions to the chapter are appreciated, to help make this chapter as useful as possible.
This chapter was reviewed by Vicky Hellon (@vickyhellon), Senior Research Community Manager and Tapabrata (Rohan) Chakraborty, Theme Lead, both for the Turing-Roche Partnership, with plans for others to review later on.
Zeena attended our June 2024 Book Dash and started the chapter there. Thank you to all in the Book Dash, Turing Way, and the Turing-Roche Community who contributed and helped with the start of the chapter.
During our 18 September Collaboration Cafe, Zeena live-merged her chapter (check out this screenshot!). Congratulations! :tada: :tada: :tada:
## Social media announcement
⚠️🚨NEW CHAPTER ALERT!🚨⚠️
A new sub-chapter on Data Missingness is now live!
Check out the chapter here: https://book.the-turing-way.org/project-design/missing-data
You can read more about the original chapter proposal in this issue:
https://github.com/the-turing-way/the-turing-way/issues/3593
And learn more about the review process in this pull request (now closed!): https://github.com/the-turing-way/the-turing-way/pull/3709
This chapter was concieved and written by Zeena Shawa, a PhD student at University College London and a Turing-Roche Community Scholar.
The Community Scholar Scheme run by the Turing-Roche Partnership supports 10 PhD students to embed themselves within the partnership and develop a community project related to data science in health. Zeena developed this chapter as her project.
The availability and size of datasets are increasing; however, the completeness and quality of these datasets is not always guaranteed, and missing data can happen for many reasons. During her PhD missing data has been a frequent issue and has limited the statistical power of the analysis she conducted.
As this is not a problem unique to just Zeena's PhD, Zeena wrote this chapter aiming to be an open resource, written from a non-expert perspective, in a way that is easily digestible for readers of any experience level. All feedback and contributions to the chapter are appreciated, to help make this chapter as useful as possible.
This chapter was reviewed by Vicky Hellon, Senior Research Community Manager and Tapabrata (Rohan) Chakraborty, Theme Lead, both for the Turing-Roche Partnership. There are also plans for other Turing-Roche members to review and iterate the chapter if needed down the line.
Zeena attended our June 2024 Book Dash and started the chapter there. Thank you to all in the Book Dash, Turing Way, and the Turing-Roche Community who contributed and helped with the start of the chapter.
During our 18 September Collaboration Cafe, Zeena live-merged her chapter (check out this screenshot!). Congratulations! :tada: :tada: :tada:
## Newsletter announcement
Congratulations to Zeena Shawa, who just merged a XXX
Images/screenshots:
![Alt text: ](https://hackmd.io/_uploads/HyXEOwtpC.jpg)