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Applying the Nominal Group Technique for Metadata Training of Domain Experts

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 390))

Abstract

Low metadata quality is a problem faced by most digital repositories, affecting resource discoverability and the overall quality of services and search mechanisms that are supported by these repositories. Metadata training of human annotators presents itself as a major challenge to contribute towards higher metadata quality for the digital resources hosted in repositories. This paper discusses the positive results of previous approaches to metadata training in the cases of a educational, cultural and scientific/research repositories, and it attempts to improve them by using the Nominal Group technique.

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Palavitsinis, N., Manouselis, N., Karagiannidis, C. (2013). Applying the Nominal Group Technique for Metadata Training of Domain Experts. In: Garoufallou, E., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2013. Communications in Computer and Information Science, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-319-03437-9_12

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  • DOI: https://doi.org/10.1007/978-3-319-03437-9_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03436-2

  • Online ISBN: 978-3-319-03437-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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