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