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Handwriting of the papal chancery and beyond: Dataset

<p><strong>Handwriting of the papal chancery and beyond: Dataset</strong></p> <p>D. Stutzmann</p> <p>The original data was originally produced in Oct.-Nov. 2019 for the paper &quot;Les &eacute;critures de la chancellerie pontificale dans le paysage europ&eacute;en (XIIe&ndash;XVe si&egrave;cles)&quot; at the conference &quot;Les actes pontificaux. Un tr&eacute;sor &agrave; exploiter&quot; held at the German Historical Institute in Paris on Nov. 28th, 2019.</p> <p>The text of the paper is published on HAL: <a href="https://hal.archives-ouvertes.fr/halshs-03628606">https://hal.archives-ouvertes.fr/halshs-03628606</a>. Parts of the present corpus (preliminary code and partial data) were released on Github on Jan. 4th, 2022 (<a href="https://github.com/oriflamms/RegVat_ArchNatJJ_MOM_LBA_2019">https://github.com/oriflamms/RegVat_ArchNatJJ_MOM_LBA_2019</a>).</p> <p>The study has been extended and deepened for a more comprehensive publication as an article in the proceedings.</p> <p>The analyzed corpora encompass images from</p> <ul> <li>Registra Vaticana (Vaticano, Archivio Apostolico, Reg. Vat.)</li> <li>Registers of French royal chancery (Paris, Archives Nationales, JJ series)</li> <li>images from Monasterium.net and Lichtbildarchiv</li> </ul> <p>The present dataset does not contain the images.</p> <p>The present dataset contains</p> <ol> <li>folder /_initial_corpus/: metadata on the &quot;original corpus&quot; that I intended to use</li> <li>folder /data/: (a) the original output data as produced by the Computer Vision library processing the images; (b) the data with its metadata.</li> <li>folder /rds/: RDS files produced as part of the analysis with the R software (cf. https://www.r-project.org/)</li> <li>folder /images/: figures and illustrations of the article</li> <li>folder /plotly/: corresponding interactive visualisations of the figures</li> </ol> <p>At the root, along witht this README file, the R code to produce the statistics, RDS files and images.</p> <p>For this library, see Nicolaou, Anguelos, A. D. Bagdanov, Marcus Liwicki, et D. Karatzas. &laquo; Sparse radial sampling lbp for writer identification &raquo;. In 2015 13th International Conference on Document Analysis and Recognition (ICDAR), 716-20, 2015., cf. <a href="https://doi.org/10.48550/arXiv.1504.06133">https://doi.org/10.48550/arXiv.1504.06133</a></p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8

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