Data and code for Paper "Scientific Open-Source Software Is Less Likely To Become Abandoned Than One Might Think! Lessons from Curating a Catalog of Maintained Scientific Software"

If you use the dataset or code, please cite our paper: https://doi.org/10.1145/3729369.

The data and scripts necesary to replicate visualizations and models included in the paper "Scientific Open-Source Software Is Less Likely To Become Abandoned Than One Might Think! Lessons from Curating a Catalog of Maintained Scientific Software".

README.md - Overview of files found in the replication package and their details.

dataset.tar.gz -> aP4-t.csv - Full Dataset used in the paper, contains both scientific and matching OSS projects. Scientific Software has attribute isSci = 1

Code/data_collection.sh - Scripts for to data collection and case matching.

Code/ModelsAndAnalysisRep.R - Our Cox models for survival and correlation analysis.

Code/KMPlotsRep.py - kaplan meier plots.