low-voltage-loadforecasting / low-voltage-loadforecasting.github.io

This is the repository for the Github pages site produced with Jekyll to our page hosting an overview of load forecasting data sets as presented in our preprint on arXiv.
https://low-voltage-loadforecasting.github.io/
Other
29 stars 8 forks source link

Licensing #34

Open thisiswhereitype opened 2 months ago

thisiswhereitype commented 2 months ago

Thanks for sharing this, please could you indicate a license for ~data.yml~ _data/table.yaml as I would like to incoporate it into a dataset and give due credit.

marcus-voss commented 2 months ago

Dear Joe, thanks for pointing out that we have not made it explicit. Currently, on the page that is created by this repo, we ask to cite the paper where we initially published the data set:

@article{haben2021review, title = {Review of low voltage load forecasting: Methods, applications, and recommendations}, journal = {Applied Energy}, volume = {304}, pages = {117798}, year = {2021}, issn = {0306-2619}, doi = {https://doi.org/10.1016/j.apenergy.2021.117798}, url = {https://www.sciencedirect.com/science/article/pii/S0306261921011326}, author = {Stephen Haben and Siddharth Arora and Georgios Giasemidis and Marcus Voss and Danica {Vukadinović Greetham}}, }

However, given that this list has changed since then, we may consider proposing to attribute the repository directly and put the repository under a CC-BY license to make it more explicit.

@SteveHaben: or any other idea here?

thisiswhereitype commented 2 months ago

Thanks, I think this case crosses the line as you have created/curated the subjective categorisation of the citations. So the dataset in itself is under your collective ownership

SteveHaben commented 2 months ago

@marcus-voss I recommend we add a license to make this clearer. We are happy for the data in the list to be made open so we can apply a simple CC BY 4.0 license: https://creativecommons.org/licenses/by/4.0/deed.en (each dataset in the list is licensed by separate licenses so it doesn't confer anything onto the linked data).

But @thisiswhereitype I suspect you are interested in a license for the specific file? In which case we can probably simply add a MIT license for the code: https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/licensing-a-repository

thisiswhereitype commented 2 months ago

@SteveHaben thanks - yes I am but the the file _data/table.yaml is not just code but also a dataset, a CC BY license would suite it best. MIT license then covers the rest of the repo.

marcus-voss commented 2 months ago

Added a license file here: https://github.com/low-voltage-loadforecasting/low-voltage-loadforecasting.github.io/blob/source/LICENSE

And also added a citation file here: https://github.com/low-voltage-loadforecasting/low-voltage-loadforecasting.github.io/blob/source/CITATION.cff

@SteveHaben @thisiswhereitype let me know if this seems appropriate to you!

thisiswhereitype commented 2 months ago

I see those, but I think not everyone will understand exactly what is code vs data and may er on the side of caution.

I don't understand what you are putting in the public domain? Is that license file a standard named one?

My preference is towards something simple i.e. "these files are MIT etc"

I would probably use the data file I mentioned under CC-BY based on what you've said here.