Contributo in volume, 2022, ENG, 10.1515_9783110767377-025
Silvia Calamai, Duccio Piccardi, Niccolò Pretto, Giovanni Candeo, Maria Francesca Stamuli, and Monica Monachini
Università degli Studi di Siena, Università degli Studi di Siena, Università degli Studi di Padova e Institute of Computational Linguistics "Antonio Zampolli", CNR, Institute of Computational Linguistics "Antonio Zampolli", CNR, Soprintendenza archivistica e bibliografica della Toscana, Institute of Computational Linguistics "Antonio Zampolli", CNR.
Oral archives and digital technologies have gone hand-in-hand for a very long time. Both sides benefit from this interdisciplinary junction: technology enhances the preservation and diffusion of oral materials, while exploiting them to develop cutting-edge tools for their treatment. This chapter deals with an Italian instantiation of this mutual relationship: the Archivio Vi.Vo. project. Offering innovative solutions concerning metadata, audio restoration, description, and access, Archivio Vi.Vo. aims to build an online platform to host the oral archives from Tuscany. The project is powered by CLARIN-IT, which guarantees its compliance with standards and offers resources for data access and discoverability. Archivio Vi.Vo. has not been built from scratch: it is instead a cross-fertilization of previous initiatives and research projects (e.g., the Gra.fo project). Moreover, the chapter presents the related, contemporary work of a multidisciplinary group striving to synthesize a Vademecum for future generations of oral archive researchers. Lastly, a brief list of tentative ideas for future developments of the Archivio Vi.Vo. platform will be presented.
digital oral archives, research infrastructures, models for digital preservation
Pretto Niccolo, Candeo Giovanni, Monachini Monica
ILC – Istituto di linguistica computazionale "Antonio Zampolli"
ID: 467178
Year: 2022
Type: Contributo in volume
Creation: 2022-05-13 17:21:41.000
Last update: 2022-10-20 17:51:50.000
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1515_9783110767377-025
URL: https://www.degruyter.com/document/isbn/9783110767377/html
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:467178
DOI: 10.1515_9783110767377-025