Code Contribution and Credit in Science

Version 1.1
Brown, Eva Maxfield; Slaughter, Isaac; Weber, Nicholas, 2025, "Code Contribution and Credit in Science", https://doi.org/10.7910/DVN/KPYVI1, Harvard Dataverse, V1, UNF:6:wWLU2O+hmG5I5RHguL5VTg== [fileUNF]
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Description
This dataset contains all data used and created as a part of the "Code Contribution and Credit in Science" article [TODO: link/doi to paper].

There are six files in this dataset:
1. rs-graph-v1-prod.db
2. rs-graph-v1-redacted.db
3. annotated-dev-author-em-resolved.csv
4. train-set.parquet
5. test-set.parquet
6. dev-author-em-misclassifications.csv

rs-graph-v1-redacted.db

The rs-graph-v1-redacted.db file is a SQLite database file that contains article-repository pairs. For each article, the basic bibliometric and author information is included. For each repository, only the basic repository metadata is included.

For details as to how to load and access the data within this database, please review: https://github.com/evamaxfield/rs-graph

rs-graph-v1-prod.db

The rs-graph-v1-prod.db file is a SQLite database file that contains the same basic data as the rs-graph-v1-redacted.db database file but additionally includes the repository contributor information for each repository along with each contributor's details as well as our predicted linkages between article authors and repository developers. This database file has restricted access due to it's creation of linked personally identifiable information.

For details as to how to load and access the data within this database, please review: https://github.com/evamaxfield/rs-graph

annotated-dev-author-em-resolved.csv

The annotated-dev-author-em-resolved.csv CSV file stores the annotations created by our team which were used to train our author-developer-account entity matching model. Like with the rs-graph-v1-prod.db, this data has restricted access due to it's creation of linked personally identifiable information.

While the training data is kept private and available by request, we make the trained predictive model available at: https://github.com/evamaxfield/sci-soft-models The train-set.parquet and test-set.parquet were the exact splits used for model training. The dev-author-em-misclassifications.csv is the set of misclassifications from the model on the test-set.
Subject Computer and Information Science
Keyword Science of Science, Metascience, Scientific Software, Research Software, Software Contribution
License/Data Use Agreement

CC0 1.0

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annotated-dev-author-em-resolved.tab
Tabular Data - 1.7 MB
Published Jun 20, 2025
5 Downloads
5 Variables, 2999 Observations UNF:6:lGRiU7vbKhIKmmbzp2iYrA==
dev-author-em-misclassifications.tab
Tabular Data - 1.9 KB
Published Jun 20, 2025
5 Downloads
3 Variables, 8 Observations UNF:6:o/C5Gy9BKFFEAOoO4jH9sA==
rs-graph-v1-prod.db
Unknown - 1.4 GB
Published Jun 20, 2025
6 Downloads
MD5: 7a1b50bf0de0d1dd7818d91aea6e4821
rs-graph-v1-redacted.db
Unknown - 1.1 GB
Published Jun 20, 2025
5 Downloads
MD5: fc8b9218fdbc684427f690266b8224cf
test-set.parquet
Unknown - 29.4 KB
Published Jun 20, 2025
5 Downloads
MD5: b61a5df78c48c297db749afdb839c3e1
train-set.parquet
Unknown - 123.5 KB
Published Jun 20, 2025
5 Downloads
MD5: 7cb2a0200598485ab441462706290bb9
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CC0 1.0

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