Graceful17: Main Data Repository

Sander, Christoph;Beutler, Naomi;Sarra, Filippo;Verdone, Valentino;Cicerchia, Andrea;Boute, Bruno;Hörnschemeyer, Jörg

Description

This dataset originates from the project GRACEFUL17: Global Governance, Local Dynamics. The transnational Regimes of Grace in the Roman Dataria Apostolica in the 17th century in focus. It provides information on ecclesiastical offices awarded by the Roman Apostolic Datary, an office of the early-modern Catholic Church. It contain data from dioceses from all over Roman Catholic Europe, focusing on the years 1622/23 and 1677/78. Content of this Repo:A static data dump of the knowledge graph data provided in N-Triples and JSON-LD formats, separated according to the main ontologies used (GRACE, CIDOC CRM, RiC-O). The Graceful17 knowledge graph can also be queried directly via the SPARQL Enpoint (https://graph.dhi-roma.it/query) or a graphical query builder.Controlled vocabularies and thesauri—e.g. categories of benefices, churches, religious orders, and ecclesiastical provinces—developed as hierarchically structured taxonomies in SKOS format.Geodata—in particular for boundaries of dioceses and ecclesiastical provinces—derived from public geospatial sources, primarily the Earthworks project at Stanford University as as GeoJSON.Basic transcriptions of the archival sources, along with metadata describing archival storage conditions and creation dates that are provided in Tab-separated Values (TSV) format.The GRACE ontology used to model the data in the Knowledge Graph is published separately and can be found here.A more detailed description, including the methodological background and instructions on how to query the Knowledge Graph, can be found in the forthcoming data paper.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

77%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

History

Field

Arts and Humanities

Domain

Social Sciences

Confidence Score

45%

Source

Scholar Data Model

Normalization Factors

FT

61.54

CTw

1.00

MTw

1.00