🚧Under construction 🚧
This repository is a resource for research groups using a automated chemical synthesis machine to perform automated experiments. We provide documentation, checklists, and templates to help groups create a workflow that ensures their data stays safe, properly labelled, and reusable, even when users join and leave the group.
We hope that this will:
- Make things easier for researchers, by helping them to keep their data labelled, backed up, and organised.
- Facilitate the collection of larger datasets, which will allow for the application of machine learning and other techniques.
Documentation and templates are written in markdown, which an is easy-to-read and easy-to-write plain text format. You can convert the markdown files to your favourite format (e.g. html, latex, PDF, word, etc), for example using pandoc).
We have chosen to license these documents with a CC-BY license, meaning that you are share and adapt it, as long as you give credit and do not impose additional restrictions.
This project uses zenodo to make this repository easier to cite. Zenodo keeps track of the different releases. Click on the zenodo badge (
We'd love to hear from you if you are thinking about using or adapting these guidelines or if you have have any suggestions for their improvement. We'd be happy to work with you to help these docs work for you. If you're familiar with GitHub, please do this by openining an issue. If you're not familiar with GitHub, please email [email protected].
If you'd like to contribute further, please read our contribution guidelines.
This project was supported by Jean Golding Institute seedcorn funding.
- Ella Gale
- Natalie Fey
- Natalie Thurlby