A The Turing Way inspired project to share resources for research application management.
This repository includes resources recommended for stakeholder engagement and application management for research projects, created by researchers at The Alan Turing Instiute. Learn more about our team and what Research Application Managers do at the Turing here.
This repository follows the recommendations and guidance provided in The Turing Way handbook to data science.
Maintainers
This repository is jointly developed and maintained by the Research Application Management team 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 the RAM team by emailing RAM@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.
Thanks goes to these wonderful people (emoji key):
 Aida Mehonic 🐏 |
 Alden Conner 🐏 |
 Jennifer Ding 🐏 |
 Hari Sood 🐏 |
 Shakir Laher 🐏 |
 Cami Rincon 🐏 |
 Kalle Westerling 🐏 |
 Sophie Arana 🐏 |
This project follows the all-contributors specification. Contributions of any kind welcome!