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CITATION.cff

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+cff-version: 1.2.0
+title: RISE-UNIBAS/rheinschifffahrt-showcase
+message: 'If you use this dataset, please cite it as below.'
+type: dataset
+authors:
+ - family-names: Hindermann
+ given-names: Maximilian
+ orcid: 'https://orcid.org/0000-0002-9337-4655'
+ - family-names: Alberto
+ given-names: Anthea
+identifiers:
+ - type: doi
+ value: 10.5281/zenodo.7755716
+ description: All versions
+ - type: doi
+ value: 10.5281/zenodo.7755717
+ description: Version 0.3.0
+url: 'https://github.com/RISE-UNIBAS/rheinschifffahrt-showcase'
+abstract: >-
+ Sample data set exemplifying an idealized data processing
+ pipeline in the Social Sciences and Humanities using Tropy
+ to structure and index digitized items; Transkribus to
+ segment and transcribe; Python, R and OpenRefine to
+ extract named entities; Omeka S to present results.
+keywords:
+ - Tropy
+ - Transkribus
+ - Python
+ - R
+ - OpenRefine
+ - Omeka S
+ - data pipeline
+ - named entity recognition
+ - training materials
+ - SSH
+license: CC-BY-4.0
+version: 0.3.1
+date-released: '2023-03-21'