We provide the links below to assist users in understanding the data contained in SPEAR and the scholarly contributions that have gone into its production. An additional link to documentation for Syriac.org has been included as well due to SPEAR's dependence on Syriaca.org authority file identifiers.
We encourage users to contact us with questions, comments, or interest in contributing data to SPEAR.
Modeling a Born-Digital Factoid Prosopography using the TEI and Linked Data, Journal of the Text Encoding Initiative, (2022), https://journals.openedition.org/jtei/3979.