Series |
Studi di archivistica, bibliografia, paleografia
Edited book | Models of Data Extraction and Architecture in Relational Databases of Early Modern Private Political Archives
Chapter | Gendered Data in Medieval and Early Modern Sources
Gendered Data in Medieval and Early Modern Sources
The Gendered Networks and Digital Edgeworth Network Projects
- Máirín MacCarron - University College Cork, Ireland - email
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.
Submitted: Oct. 3, 2023 | Accepted: Jan. 18, 2024 | Published May 22, 2025 | Language: en
Keywords Correspondence networks • Bede • Narrative sources • Gendered data • Data analysis • Maria Edgeworth • Social network analysis
Copyright © 2025 Máirín MacCarron. This is an open-access work distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction is permitted, provided that the original author(s) and the copyright owner(s) are credited and that the original publication is cited, in accordance with accepted academic practice. The license allows for commercial use. No use, distribution or reproduction is permitted which does not comply with these terms.
Permalink http://doi.org/10.30687/978-88-6969-919-1/008
- Introduction
- Dorit Raines
- May 22, 2025
Perspectives: Historical Archives and Digital Humanities
- The Digital Historiographic Turn and the Historian’s Changing Toolkit: From ‘Facts’ and ‘Events’ to ‘Datasets’
- Dorit Raines
- May 22, 2025
-
Is There a Reception of Algorithm‑Based Research in Traditional Historical Scholarship?
Three Case Studies from Academic “Trading Zones” - Thomas Wallnig
- May 22, 2025
- The Representation of Historical Uncertainties as the Outcome of Competing and Incompatible Certainties
- Fabio Vitali, Valentina Pasqual
- May 22, 2025
- Metapolis: Spatializing Histories Through Archival Sources
- Lukas Klic
- May 22, 2025
Experiences: Historical Archives, Database and Online Publication
-
Including the Archival Context in the Historian’s Materials: The Advantages of Archival Standard Databases in Historical Research
VINCULUM Project Database and Information System Guide - Maria de Lurdes Rosa
- May 22, 2025
-
Cracking the Historical Code
From Unstructured Correspondence Corpora to Computational Analysi - Agata Bloch, Michał Bojanowski, Clodomir Santana, Demival Vasques Filho
- May 22, 2025
-
Methods and Tools of Quantification in Historical Research
Napoleonic Employment Applications as a Case Study - Valentina Dal Cin
- May 22, 2025
-
Gendered Data in Medieval and Early Modern Sources
The Gendered Networks and Digital Edgeworth Network Projects - Máirín MacCarron
- May 22, 2025
-
Extraction, Architecture and Recovery of Family Correspondence Data
The Platform “EpiCAT. Family Letters from Catalonia (Sixteenth‑Nineteenth Centuries)” - Javier Antón Pelayo
- May 22, 2025
Challenges: Graziani Archive and Omeka S
-
Historical Research and Archival Sciences in a Digital Perspective
Relational Database, Data Architecture and Data Extraction in Graziani Archives Portal - Dorit Raines
- May 22, 2025
-
Reconciling Complex Historical Records with Omeka S Relational Database
The Case of the Graziani Archive - Gabriella Desideri
- May 22, 2025
-
A Puzzle with Missing Pieces
Extracting, Deciphering, and Digitally Rearranging Data in Antonio Maria Graziani Private Archives - Carlo Baja Guarienti
- May 22, 2025
-
How to Digitally Reconstruct the History of an Early Modern Private Library?
Antonio Maria Graziani (1537‑1611) and the Vicissitudes of His Books - Luca Iori
- May 22, 2025
| DC Field | Value |
|---|---|
|
dc.identifier |
ECF_chapter_18901 |
|
dc.contributor.author |
MacCarron Máirín |
|
dc.title |
Gendered Data in Medieval and Early Modern Sources. The Gendered Networks and Digital Edgeworth Network Projects |
|
dc.type |
Chapter |
|
dc.language.iso |
en |
|
dc.description.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. |
|
dc.relation.ispartof |
Studi di archivistica, bibliografia, paleografia |
|
dc.publisher |
Edizioni Ca’ Foscari - Venice University Press, Fondazione Università Ca’ Foscari |
|
dc.issued |
2025-05-22 |
|
dc.dateAccepted |
2024-01-18 |
|
dc.dateSubmitted |
2023-10-03 |
|
dc.identifier.uri |
http://edizionicafoscari.it/en/edizioni4/libri/978-88-6969-919-1/gendered-data-in-medieval-and-early-modern-sources/ |
|
dc.identifier.doi |
10.30687/978-88-6969-919-1/008 |
|
dc.identifier.issn |
2610-9875 |
|
dc.identifier.eissn |
2610-9093 |
|
dc.identifier.isbn |
978-88-6969-920-7 |
|
dc.identifier.eisbn |
978-88-6969-919-1 |
|
dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
dc.rights.uri |
http://creativecommons.org/licenses/by/4.0/ |
|
item.fulltext |
with fulltext |
|
item.grantfulltext |
open |
|
dc.peer-review |
yes |
|
dc.subject |
Bede |
|
dc.subject |
Correspondence networks |
|
dc.subject |
Data analysis |
|
dc.subject |
Gendered data |
|
dc.subject |
Maria Edgeworth |
|
dc.subject |
Narrative sources |
|
dc.subject |
Social network analysis |
| Download data |