search

Kohulan / DECIMER-Image_Transformer

DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.
MIT License
217 stars 52 forks source link

Archive repository on Zenodo #6

Closed cthoyt closed 3 years ago

cthoyt commented 3 years ago

While GitHub is an excellent place to centralize your code and keep it under version control, it is not so appropriate for archiving the state of the repository. Zenodo is a proper alternative, and it will even make your life easy by connecting to GitHub. I'd recommend following this tutorial to:

  1. log in to Zenodo with your GitHub account
  2. Enable its usage on the https://github.com/Kohulan user
  3. Create a "release" on GitHub, which automatically notifies Zenodo to make an archive
  4. Go to the Zenodo page and grab the newly minted DOI which corresponds to the code as a resource a. Put the badge on the GitHub page (it will allow you to copy+paste the markdown already prepared for you) b. Put the DOI in your manuscript and mention that you're using Zenodo to do it.

I personally thing Zenodo is the best tool for code because of its integration with GitHub, but other services exist for archiving your research output that are also good, such as Figshare.

Kohulan commented 3 years ago

Thank you for the nice suggestion. The initial release is now achieved in Zenodo and once I will update the documentation I will do another release.

cthoyt commented 3 years ago

Don't forget to put a fancy badge in the readme after :)

Kohulan commented 3 years ago

Yup, it is already there in the readme. :)