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---
license: mit
---
Data repository for:
Brian Libgober, Connor T. Jerzak. Linking Datasets on Organizations Using Half-a-Billion Open-Collaborated Records. Political Science Methods and Research, 2024. [[PDF]](https://doi.org/10.1017/psrm.2024.55)
```
@article{LJ-LinkOrgs,
title={Linking Datasets on Organizations Using Half-a-Billion Open-Collaborated Records},
author={Libgober, Brian and Connor T. Jerzak},
pages={1-20},
journal={Political Science Methods and Research},
year={2024}
}
```
This repository contains large-scale training data for improving linkage of data on organizations. `NegMatches_mat.csv` and `NegMatches_mat_hold.csv` refer to millions of negative name matches examples derived from the LinkedIn network (see paper for details). `PosMatches_mat.csv` and `PosMatches_mat_hold.csv` refer to millions of positive name matches examples derived from the LinkedIn network (see paper for details).
Additionally, files with saved `*_bipartite` refer to the bipartite network representation of the LinkedIn network that we use for improving linkage. files with saved `*_bipartite` refer to the Markov network representation of the LinkedIn network that we use for improving linkage.
With any questions, don't hestitate to reach out to `connor.jerzak@gmail.com`.
[<img src="https://i0.wp.com/connorjerzak.com/wp-content/uploads/2023/07/f1.png?w=738&ssl=1" width="400" height="400">](https://connorjerzak.com/linkorgs-summary/)
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