Models of Data Extraction and Architecture in Relational Databases of Early Modern Private Political Archives
open access | peer reviewed
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edited by
- 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 Colonial Portuguese Empire • Antonio Maria Graziani • Catalonia • Giovanni Francesco Commendone • Provenance • Quantitative methods • EpiCAT platform • Metadata models • Data retrieval • Imitatio Christi • GLAM • Datafication • Structured data • ResearchSpace • Maria Edgeworth • Digital Humanities convergence • Interoperability • Papal diplomat • Metadata collection • Standardization • Archival footprint • Information System Guide • Library • Antonio Maria Graziani, • Historiographic turn • Linked Open Data • Correspondence networks • Trading zones • Digital tools • Frontend customization • Narratives of explanation • Omeka S • RDF • Historical research methodology • Digital humanities • Encyclopédie • Data ingestion • Public correspondence • Entail • Napoleonic Europe • Social network analysis • Uncertainty • Metapolis • Gendered data • Document summary • Research infrastructures • Data extraction • Medici • Web portal • Early modern private libraries • VINCULUM Project • Event • Text mining • Employment applications • Data architecture • Geolocation • Conjectures • Digital catalogue • Family correspondences • Graziani Archives • Narrative sources • Relational database • Hstorical narratives • Archival complexity • Historical‑archival databases • Bede • Fact • Historical dataset • Data analysis • Digital infrastructure • Geospatial data
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 | Published May 22, 2025 | Language 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.