Models of Data Extraction and Architecture in Relational Databases of Early Modern Private Political Archives
open access | peer reviewed
-
a cura di
- Dorit Raines - Università Ca’ Foscari Venezia, Italia - email orcid profile
Abstract
The essays included in this publication are penned by scholars renowned for their expertise in digital humanities and historical research, providing multidimensional insights into the evolving landscape of historiography. Through meticulous examination, they illustrate the transformative power of digital tools in reshaping the methodologies of historical inquiry, augmenting traditional practices with innovative approaches. By addressing these issues, scholars can better navigate the intricacies of historical narratives and contribute to a deeper understanding of the past.
Keywords Historical research methodology • Data architecture • Historical dataset • Text mining • Gendered data • Imitatio Christi • Research infrastructures • Geolocation • Structured data • Quantitative methods • Relational database • Family correspondences • Frontend customization • Metadata collection • Web portal • Antonio Maria Graziani, • Data analysis • GLAM • Maria Edgeworth • Metapolis • Trading zones • Document summary • Historiographic turn • Antonio Maria Graziani • Early modern private libraries • Encyclopédie • Geospatial data • Public correspondence • ResearchSpace • Conjectures • Data retrieval • Giovanni Francesco Commendone • VINCULUM Project • Interoperability • Employment applications • Event • Narratives of explanation • Medici • Historical‑archival databases • Metadata models • Archival complexity • Digital infrastructure • Information System Guide • Linked Open Data • Provenance • Correspondence networks • Colonial Portuguese Empire • Napoleonic Europe • Social network analysis • EpiCAT platform • Data ingestion • Digital catalogue • Papal diplomat • Standardization • Hstorical narratives • Archival footprint • Bede • Narrative sources • RDF • Fact • Digital Humanities convergence • Catalonia • Graziani Archives • Uncertainty • Data extraction • Digital humanities • Digital tools • Datafication • Entail • Library • Omeka S
Permalink http://doi.org/10.30687/978-88-6969-919-1 | e-ISBN 978-88-6969-919-1 | ISBN (PRINT) 978-88-6969-920-7 | Pubblicato 22 Maggio 2025 | Lingua en
Copyright © 2025 Dorit Raines. 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.