about.qmd

---
title: "About"
comments: false
---

We have been collecting statistics on open-source repositories of NHS and related healthcare organisations. We use the open [GitHub API](https://docs.github.com/en/rest/reference/orgs) to pull data from open (public) repositoiries as `.json` files, then flatten the data into `pandas` dataframes for analysis. This has produced an interesting dataset that has lots of potential for further analysis and visualisations. 

 ### Made with:

 - [NHSD RAP community python template](https://github.com/NHSDigital/rap-package-template)
 - [NHS-R Quarto Theme](https://github.com/nhs-r-community/quarto-nhs-theme)

## Authors

- [Craig Robert Shenton, PhD](https://github.com/craig-shenton), NHSE `author`, `maintainer`.
- [Mary Amanuel](https://github.com/maryamanuel1), NHSE `author`.
- [Arouba Zubair](https://github.com/Arouba), NHSX `author`.
- [Mattia Ficarelli, PhD](https://github.com/mattia-ficarelli), NHSX `author`.
- [Adam Ivison ](https://github.com/admivsn), NHSBSA `contributor`.

## Licence

MIT License, see [`LICENSE.md`](https://github.com/nhs-pycom/opensource-health-statistics/blob/main/LICENSE)

## Citation

NHS Python Community. *Open-source Healthcare Statistics* (2023). At <[https://github.com/nhs-pycom/opensource-health-statistics](https://github.com/nhs-pycom/opensource-health-statistics)>.

```r
@Manual{opensource-health-statistics2023,
  title  = {opensource-health-statistics: Statistics on open-source healthcare repositories},
  author = {NHS Python Community},
  url = {https://github.com/nhs-pycom/opensource-health-statistics},
  year = {2023},
}
```