Applying the Nominal Group Technique for Metadata Training of Domain Experts

  • Nikos Palavitsinis
  • Nikos Manouselis
  • Charalampos Karagiannidis
Part of the Communications in Computer and Information Science book series (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.

Keywords

metadata training domain experts evaluation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Nikos Palavitsinis
    • 1
    • 2
  • Nikos Manouselis
    • 2
  • Charalampos Karagiannidis
    • 3
  1. 1.University of Alcala de HenaresAlcalá de HenaresSpain
  2. 2.Agro-Know TechnologiesAthensGreece
  3. 3.Department of Special EducationUniversity of ThessalyVolosGreece

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