Two Datasets of Genetic Dossiers and Authorial Manuscripts

In genetic criticism, scholarly editing, authorial philology and, more generally, for the study of authorial manuscripts and writing processes, it is essential to order and classify the textual witnesses and their relationships. This article presents two datasets of so-called ‘genetic networks’, that is representation of the genetic entities (witnesses, publications, dossiers) and their relationships, modelled according to the geno 1.0 ontology. The datasets contain genetic networks of the works of two Swiss authors: the main publications of Gustave Roud (1897–1976) and the short story “En mer” by Bernard Comment (1960).

Authors

Institutions

Publication Details

Journal
Research Data Journal for the Humanities and Social Sciences
Published
2024-09-19
DOI
https://doi.org/10.1163/24523666-bja10042
Citations
1
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
3.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two Datasets of Genetic Dossiers and Authorial Manuscripts

Elena Spadini
1 citations
Research Data Journal for the Humanities and Social Sciences
Digital Humanities and Scholarship
3.91
article

Two Datasets of Genetic Dossiers and Authorial Manuscripts

Elena Spadini
article en
1 citations

Abstract

In genetic criticism, scholarly editing, authorial philology and, more generally, for the study of authorial manuscripts and writing processes, it is essential to order and classify the textual witnesses and their relationships. This article presents two datasets of so-called ‘genetic networks’, that is representation of the genetic entities (witnesses, publications, dossiers) and their relationships, modelled according to the geno 1.0 ontology. The datasets contain genetic networks of the works of two Swiss authors: the main publications of Gustave Roud (1897–1976) and the short story “En mer” by Bernard Comment (1960).

Research Data Journal for the Humanities and Social SciencesVol. 9
University of Basel (CH)
Quality Education
Openalex Percentile: Top 6%
Digital Humanities and Scholarship
3.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.