Corpus Criticorum (c. 1450 - 1700): An evolving bibliographical dataset of early modern publications featuring the notion of critique in their titles or on their titlepages

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Dataset information

Country of origin
Updated
2026.02.02 00:00
Created
2025.01.01
Available languages
English
Keywords
intellectual history, critique
Quality scoring

Dataset description

This deposit of the "Corpus Criticorum (c. 1450 - 1700)" contains four interrelated bibliographical datasets from the MSCA funded DEPICT project, describing early-modern publications (c.1450–1650) that feature the notion of “critique” in their titles or on their titlepages. Work: Work-level records with project IDs, fully transcribed titles, primary and secondary languages, and a three-level classification of the publications according to the Parisian Booksellers System. Instance: First-edition manifestations linked to works via a shared ID, including publication year, place of print (transcribed and modernised), imprint statement, format, external Linked Open Data bibliographic identifiers (e.g. USTC IDs and corresponding URIs) and basic holding information with links to digitized versions of the publications. Persons and contributions: An authority list of the people involved in the publications (authors, editors, translators, printers, publishers and booksellers) with Linked Open Data identifiers (e.g. VIAF, GND, etc.), and a contribution table that links them to instances with their specific roles. At present, this dataset covers the publications up to 1650.  Political and confessional geography: Enriched contextual data for each instance, including geocoded coordinates, present-day country, historical polities and sub-units, and predominant local confession. The datasets are designed around a simplified BIBFRAME Work/Instance/Agent model and provided as machine-readable tables for reuse in historical, bibliographical, and digital-humanities research. They can also be explored at www.critica-huma-num.fr through a dedicated web application, developed by Dr. Imran Asif from the University of Oxford's Centre for Digital Scholarship. 
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2019
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