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  4. Datafication of audiovisual archives: from practice mapping to a thinking model
 
research article

Datafication of audiovisual archives: from practice mapping to a thinking model

Yang, Yuchen  
March 5, 2024
Journal Of Documentation

Purpose Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, "What to extract from AV materials and why?". Design/methodology/approach This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards. Findings The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content - archival, affective and aesthetic, social and historical. Originality/value This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

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Type
research article
DOI
10.1108/JD-04-2022-0093
Web of Science ID

WOS:001178922100001

Author(s)
Yang, Yuchen  
Date Issued

2024-03-05

Publisher

Emerald Group Publishing Ltd

Published in
Journal Of Documentation
Subjects

Technology

•

Information Management

•

Audiovisual Media

•

Knowledge Organizations

•

Audiovisual Archives

•

Computational Archival Science

•

Datafication Model

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
EMPLUS  
FunderGrant Number

SNF

CRSII5_198632

Available on Infoscience
April 3, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/206869
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