In the present paper, we discuss that it is necessary to provide schol-ars with a user-friendly environment to prepare Scholarly Digital Editionswithout writing code of any kind to (1) avoid them spending time learning notions of coding; (2) better handling errors; (3) obtain homogeneous scholarly data on which to perform operations, e.g., filtering; (4) prepare and publish their editions directly in their final visualisation.

Francesca Tomasi, Martina Dello Buono (2024). Śivadharma Database. Modelling a web application to manage scholarly data. Napoli : UniorPress [10.6093/978-88-6719-287-8].

Śivadharma Database. Modelling a web application to manage scholarly data

Francesca Tomasi;Martina Dello Buono
2024

Abstract

In the present paper, we discuss that it is necessary to provide schol-ars with a user-friendly environment to prepare Scholarly Digital Editionswithout writing code of any kind to (1) avoid them spending time learning notions of coding; (2) better handling errors; (3) obtain homogeneous scholarly data on which to perform operations, e.g., filtering; (4) prepare and publish their editions directly in their final visualisation.
2024
Moving Texts. Filologie e digitale
59
70
Francesca Tomasi, Martina Dello Buono (2024). Śivadharma Database. Modelling a web application to manage scholarly data. Napoli : UniorPress [10.6093/978-88-6719-287-8].
Francesca Tomasi; Martina Dello Buono
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/966714
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