Simulated data for census-scale entity resolution research without privacy restrictions: a large-scale dataset generated by individual-based modeling
- DOI
- 10.12688/gatesopenres.15418.2
- Published
- 2024-10-18
- Container
- Gates Open Research
- Publisher
- F1000 Research Ltd
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.12688/gatesopenres.15418.2,
title = {Simulated data for census-scale entity resolution research without privacy restrictions: a large-scale dataset generated by individual-based modeling},
author = {Beatrix Haddock and Alix Pletcher and Nathaniel Blair-Stahn and Os Keyes and Matt Kappel and Steve Bachmeier and Syl Lutze and James Albright and Alison Bowman and Caroline Kinuthia and Zeb Burke-Conte and Rajan Mudambi and Abraham Flaxman},
year = {2024},
journal = {Gates Open Research},
doi = {10.12688/gatesopenres.15418.2},
url = {https://doi.org/10.12688/gatesopenres.15418.2}
}RIS
TY - JOUR TI - Simulated data for census-scale entity resolution research without privacy restrictions: a large-scale dataset generated by individual-based modeling AU - Beatrix Haddock AU - Alix Pletcher AU - Nathaniel Blair-Stahn AU - Os Keyes AU - Matt Kappel AU - Steve Bachmeier AU - Syl Lutze AU - James Albright AU - Alison Bowman AU - Caroline Kinuthia AU - Zeb Burke-Conte AU - Rajan Mudambi AU - Abraham Flaxman PY - 2024 JO - Gates Open Research DO - 10.12688/gatesopenres.15418.2 UR - https://doi.org/10.12688/gatesopenres.15418.2 ER -
APA
Haddock, B., Pletcher, A., Blair-Stahn, N., Keyes, O., Kappel, M., Bachmeier, S., Lutze, S., Albright, J., Bowman, A., Kinuthia, C., Burke-Conte, Z., Mudambi, R., & Flaxman, A. (2024). Simulated data for census-scale entity resolution research without privacy restrictions: a large-scale dataset generated by individual-based modeling. Gates Open Research. https://doi.org/10.12688/gatesopenres.15418.2
Source records
- crossref · retrieved 2026-09-24T18:53:16.266Z