Published April 25, 2025 | Version v1
Dataset Open

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"

Authors/Creators

  • 1. ROR icon Oak Ridge National Laboratory
  • 2. EDMO icon University of Tennessee Knoxville
  • 3. Sandia National Laboratories
  • 4. ROR icon Eindhoven University of Technology
  • 5. ROR icon Carnegie Mellon University

Description

Please refer to README.md for more information.

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

Files

README.md

Files (3.8 MB)

Name Size
md5:22b72a3b0b3081dfa9a1061ae4a8bc2b
51.7 kB Download
md5:f139992a9de56e872bc379f2f8fc02ee
3.8 MB Download
md5:759f184990d82dc14e216c121b1d2455
5.0 kB Download
md5:6abc43b4a2df4d1fb00d817e7a124654
28.8 kB Download
md5:a66c5f975aa42cd506c0e8a348df6352
880 Bytes Preview Download

Additional details

Identifiers

DOI
10.1145/3729369

Related works

Is part of
Conference paper: 10.1145/3729369 (DOI)
Preprint: https://www.researchgate.net/publication/391121339_Scientific_Open-Source_Software_Is_Less_Likely_to_Become_Abandoned_Than_One_Might_Think_Lessons_from_Curating_a_Catalog_of_Maintained_Scientific_Software (URL)