Applying the Nominal Group Technique for Metadata Training of Domain Experts

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. © Springer International Publishing Switzerland 2013.