Published June 19, 2023
| Version 5
Dataset
Open
Don't mention it: challenges to using software mentions to investigate citation and discoverability - Data and Notebooks
Authors/Creators
- 1. German Aerospace Center (DLR), Berlin, Germany
- 2. EPCC, University of Edinburgh, Edinburgh, United Kingdom
- 3. School of Computer Science, University of St Andrews, St Andrews, United Kingdom
Description
This deposit contains the data and Jupyter notebooks used for sampling and annotation analysis of our submission to the PeerJ Computer Science special issue Software Citation, Indexing, and Discoverability (https://peerj.com/collections/84-software):
Stephan Druskat, Neil P. Chue Hong, Sammie Buzzard, Olexandr Konovalov, and Patrick Kornek. Don’t mention it: challenges to using software mentions to investigate citation and discoverability.
See the README in this deposit.
The contents of this deposit can also be browsed at https://github.com/softwaresaved/habeas-corpus/tree/main/replication-package.
Files
don_t-mention-it-data-notebooks.zip
Files
(315.8 kB)
| Name | Size | Download all |
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md5:65ca4ff80496230d8e806cf7bb6b09a5
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311.6 kB | Preview Download |
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md5:a76a6e3c720b70b184b054ed4d27c4fc
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4.2 kB | Preview Download |
Additional details
Related works
- Is derived from
- Dataset: https://github.com/softwaresaved/habeas-corpus/tree/main/replication-package (URL)