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Ouvrages Année : 2022

QUEST: Guidelines and Specifications for the Assessment of Audiovisual, Annotated Language Data

Anna Wamprechtshammer
  • Fonction : Auteur
Elena Arestau
  • Fonction : Auteur
Hanna Hedeland
  • Fonction : Auteur
Amy Isard
  • Fonction : Auteur
Ilya Khait
  • Fonction : Auteur
Herbert Lange
  • Fonction : Auteur
  • PersonId : 1150582
Nicole Majka
  • Fonction : Auteur
Felix Rau
  • Fonction : Auteur

Résumé

This guide provides a detailed overview of the quality criteria elaborated in QUEST, which areintended to provide information on the reuse potential of audiovisual, annotated language data. It isprimarily aimed at data centres and archives that wish to implement the evaluation process established within QUEST in orderto make decisions about the reusability of research data within the framework of data depositing’sfor archiving as well as certification purposes.In addition, based on the guide and the quality checks to be implemented, data centres and archives can already offer researchers the evaluation of their data as a service during the compilation process.To this end, the aim of the guide is to define and record criteria for assessing the quality or reusa-bility of audiovisual,annotated language data. The aspects of long-term accessibility as well as opening it up to broad scholarly and non-scholarly use are assessedto ensure baseline requirements for digitally driven research.The document provides definitions and examples for each criterion and aims to give a clear overview of objects and workflows of the evaluation system, i.e., to link the quality standards and curation cri-teria to the data maturity levels and to make suggestions on how to evaluate each criterion.
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Dates et versions

hal-04234971 , version 1 (10-10-2023)

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  • HAL Id : hal-04234971 , version 1

Citer

Anna Wamprechtshammer, Jocelyn Aznar, Elena Arestau, Hanna Hedeland, Amy Isard, et al.. QUEST: Guidelines and Specifications for the Assessment of Audiovisual, Annotated Language Data. , 8, pp.90, 2022, Working Papers in Corpus Linguistics and Digital Technologies: Analyses and Methodology, Kristin Bührig, 978-963-306-910-3. ⟨hal-04234971⟩
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