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