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We've got some great data that we should definitely share: download numbers for almost all of the larger package manager (except Julia) listed on OpenSustain.tech. Here is a very prototypical playground for playing with the dataset. Just open the notebook in colab and you will see first ideas of interactive plots that we could use for the blog post. https://github.com/protontypes/osta/blob/main/packages_insights.ipynb
As discussed in the core meeting, it makes sense to start with a blog post and then work on a paper that we then publish together (ideally with peer review).
We also have citations for many projects, but the data here is often not valid. Maybe we are also able to get this numbers right. At the moment I see 2 problems with the citations numbers:
We do not get citations numbers via OpenAlex from DOIs that are created via Zenodo. (A lot of Open Source projects have a DOI from Zenodo)
Just because an DOI is linked in the README does not mean that the people of the open source project are affiliated with the paper that is been referenced. A possible solution for this problem is mentioned here: Comparison of repo authors and DOI authors #819
The text was updated successfully, but these errors were encountered:
I started an Overleaf, and then spent ten minutes fiddling with the template before I remembered it really doesn't matter. What matters is the ability, at this point, to get stuff down and to move things around and to just write. We can edit and format later. So, I set up a Google Doc.
There is another indicator that we should investigate to measure the distribution/usage of an open source project: The number of "external" issues opened per time interval by people who are not the maintainer or main contributor of the project. It should be easy to derive such an indicator from the given data.
We've got some great data that we should definitely share: download numbers for almost all of the larger package manager (except Julia) listed on OpenSustain.tech. Here is a very prototypical playground for playing with the dataset. Just open the notebook in colab and you will see first ideas of interactive plots that we could use for the blog post.
https://github.com/protontypes/osta/blob/main/packages_insights.ipynb
As discussed in the core meeting, it makes sense to start with a blog post and then work on a paper that we then publish together (ideally with peer review).
We also have citations for many projects, but the data here is often not valid. Maybe we are also able to get this numbers right. At the moment I see 2 problems with the citations numbers:
The text was updated successfully, but these errors were encountered: