Abstract
The Gendered Networks and Digital Edgeworth Network projects applied data‑driven approaches and digital analysis to material that might not seem entirely conducive to such methodologies. The process of creating viable datasets for both projects was researcher‑led due to the complexity of the data. The resulting datasets highlighted aspects of the source material that had hitherto received little attention and led to the development of new research questions. Our data‑driven approach ensured that all individuals were included in the data gathering process and allowed us bring to the fore people who might otherwise have been deemed invisible.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Models of Data Extraction and Architecture in Relational Databases of Early Modern Private Political Archives |
| Editors | Dorit Raines |
| Place of Publication | Venice |
| Publisher | Edizioni Ca' Foscari |
| Chapter | 8 |
| Pages | 175-191 |
| Number of pages | 17 |
| Publication status | Published - 2025 |
UCC Futures
- Future Humanities Institute