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Ibn ʿAsākir and His History of Damascus (Data Set)

<p>This release pertains to a series of seven blog posts that investigate the working methods of ʿAlī Ibn ʿAsākir (d. 571/1176) in his <em>The History of Damascus</em> (<em>Tārīkh madīnat Dimashq</em>, hereafter <em>TMD</em>). The data set is oriented to the following questions:</p> <ol> <li> <p>The <em>TMD</em>&rsquo;s <em>isnād</em>s name individuals who, in one way or another, transferred information to Ibn ʿAsākir.&nbsp; When we read the <em>isnād</em>s en masse, what can we learn about his reliance on the people he cites as his direct informants? From approximately how many people did Ibn ʿAsākir obtain information directly? How vast was his source base? What can we learn about his reliance on different people?</p> </li> <li> <p>How does Ibn ʿAsākir cite his sources within <em>isnād</em>s? What vocabulary does he use and what might it mean? Did he acquire the information on his own, or as part of a group; through oral communication, in writing or via a mix of the two?&nbsp;</p> </li> <li> <p>Previous historians have written about a &lsquo;library&rsquo; used by Ibn ʿAsākir and listed books and book titles that it might have contained. When author names appear within <em>isnād</em>s, what do the names signify for Ibn ʿAsākir? What can <em>isnād</em>s reveal about his reliance on books? How does Ibn ʿAsākir cite books themselves?&nbsp;</p> </li> <li>Outside of <em>isnād</em>s, how does Ibn ʿAsākir cite books and other written materials</li> </ol> <p>To generate our data, we relied on the version of Ibn ʿAsākir&rsquo;s text contained in the <a href="https://zenodo.org/record/6808108">2022.1.6</a> release of the OpenITI corpus through Zenodo. This same release provided the basis for the text reuse alignments provided here.</p> <p>We used the <a href="https://zenodo.org/record/7687795">2022.2.7</a> version of the corpus in just one case: the &lsquo;IsnadFractions_ML&rsquo; data.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
12
Reuse readiness
8
Engagement
8