If you'd like to develop on and build the Climate Data Guidelines book, you should:
- Clone this repository and run
- Run
pip install -r requirements.txt
(it is recommended you do this within a virtual environment) - (Recommended) Remove the existing
Governance/_build/
directory You can do this withjupyter-book clean Goverance/
jupyter-book clean Goverance/ -all
will also remove the cache - Run
jupyter-book build Governance/
A fully-rendered HTML version of the book will be built in Governance/_build/html/
.
The html version of the book is hosted on the gh-pages
branch of this repo. A GitHub actions workflow has been created that automatically builds and pushes the book to this branch on a push or pull request to main.
If you wish to disable this automation, you may remove the GitHub actions workflow and build the book manually by:
- Navigating to your local build; and running,
ghp-import -n -p -f Governance/_build/html
This will automatically push your build to the gh-pages
branch. More information on this hosting process can be found here.
NB this should be now automated using github action defined in .github/workflows/deploy.yml Any commit to the main branch should trigger thsi action
Currently the book is comprised of 7 parts
- Guidelines to create a dataset
- Guidelines to publish a dataset
- Guidelines to update a dataset (new versions and errata)
- Guidelines to retire a dataset
- A section covering data management related concepts: conventions, controlled vocabularies, DMPs etc
- A section covering technical aspects of data management: compression, chunking, interaction between metadata attributes and software, directory structure, filenames etc.
- An appendix section for extra materials
Only the top level of Parts 5 and 6 will be shown in the main table of contents on the book sidebar. So a table of contents is available in the first page of the book to function as an index. The Guidelines (parts 1-4) will have refernce to the concepts and technical information where appropriate.
We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.
This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.