DOI minting and software release management using Github and Zenodo

Github and Zenodo have collaborated on integrating their respective systems to allow a degree of automation in minting DOIs, and uploading release artifacts to Zenodo as part of the Github release workflow. The advantages, and some possible pitfalls of this approach were discussed in a session at the 2025 Python Heliophysics Community (PyHC) spring meeting. We will discuss progress that has been made since then on some of the technical issues (especially embedding of versioned DOIs in release artifacts), with the hope of providing guidance, and perhaps some additional tools, for helping heliophysics package maintainers make the most of the existing Github/Zenodo tools.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-17
DOI
https://doi.org/10.5281/zenodo.17382021
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

DOI minting and software release management using Github and Zenodo

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

DOI minting and software release management using Github and Zenodo

article en

Abstract

Github and Zenodo have collaborated on integrating their respective systems to allow a degree of automation in minting DOIs, and uploading release artifacts to Zenodo as part of the Github release workflow. The advantages, and some possible pitfalls of this approach were discussed in a session at the 2025 Python Heliophysics Community (PyHC) spring meeting. We will discuss progress that has been made since then on some of the technical issues (especially embedding of versioned DOIs in release artifacts), with the hope of providing guidance, and perhaps some additional tools, for helping heliophysics package maintainers make the most of the existing Github/Zenodo tools.

Zenodo (CERN European Organization for Nuclear Research)
Partnerships for the goals
Openalex Percentile: Top 24%
Computational Physics and Python Applications
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