Abstract. The use of widely-used metadata standards is essential to guarantee the visibility and retrieval of documents stored in open repositories. Attention should be paid to the creation and exchange of meaningful metadata to enhance interoperability amongst repositories and provide value added services. Since 2005 the Food and Agriculture Organization of the United Nations (FAO) provides the agricultural information management community with standards, services and tools to assist open repositories in benefiting from the advantages offered by Semantic Web publishing. This paper presents the work that FAO carries out in recommending standards for the encoding and exchange of metadata while also reviewing techniques to help navigate within open repositories and services. It talks about how to improve the visibility of repository content and explains the benefits of integrating subject vocabulary tools expressed in SKOS. It concludes with a presentation of use cases integrating these recommendations into DSpace and Drupal customizations.
In this paper, we evaluate the quality of the metadata of an OAIcompliant repository based on the completeness metric proposed by X. Ochoa and E. Duval. This study focuses on the completeness of the metadata records as defined by M.A. Sicilia et al, where machine-understandability is a mandatory requirement for completeness. The goal is to use the completeness metric as a tool for harvesters and repository managers to evaluate easily the quality of the metadata of a repository. We focus on the metadata used by the communities of agriculture, aquaculture and environment from the VOA3R project. The OceanDocs repository serves as a use case. The completeness metric is used on a sample of records from the repository. The paper concludes that in the opinion of the authors quality evaluation is not a global process, but depends on the context. The completeness metric have to be used on the specific elements, relevant for the specific community.
In measuring the overlap between two sets A and B (e.g. libraries, databases) one is obliged to calculate the overlap O(A|B) of A with respect to B (i.e. the fraction of elements of B that are also in A) and of O(B|A) of B with respect to A (i.e. the fraction of elements in A that are also in B). Theoretically this requires two samples. In this paper we explain that one sample can suffice to determine confidence intervals for both O(A|B) and O(B|A). The paper closes with the example of measuring the overlap between the secondary sources in mathematics MathSciNet and Zentralblatt MATH and with a remark on the estimation of the Jaccard index.
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