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 • Information System Guide • Digital Humanities convergence • Historiographic turn • Public correspondence • Standardization • VINCULUM Project • Imitatio Christi • Uncertainty • Entail • Structured data • Document summary • Conjectures • Digital infrastructure • Antonio Maria Graziani, • Text mining • Bede • Early modern private libraries • Historical dataset • Gendered data • Quantitative methods • Antonio Maria Graziani • Correspondence networks • EpiCAT platform • GLAM • Geospatial data • Maria Edgeworth • Colonial Portuguese Empire • Event • Family correspondences • Narratives of explanation • Relational database • Digital humanities • Metapolis • Narrative sources • Omeka S • Social network analysis • Napoleonic Europe • ResearchSpace • Frontend customization • Archival complexity • Library • Geolocation • Web portal • Data extraction • Data architecture • Digital tools • Giovanni Francesco Commendone • Papal diplomat • Data retrieval • Trading zones • Encyclopédie • Datafication • Interoperability • Metadata models • Medici • Hstorical narratives • Historical‑archival databases • Employment applications • Archival footprint • Catalonia • RDF • Metadata collection • Data ingestion • Provenance • Linked Open Data • Graziani Archives • Fact • Data analysis • Research infrastructures • Digital catalogue
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.