The objective of metadata curatorship is to ensure that users can effectively and efficiently access objects of interest from a repository, digital library, catalogue, etc. using well-assigned metadata values aligned with an appropriately chosen schema. However, we are often facing problems related to the low quality of metadata used for the description of digital resources, for example wrong definitions, inconsistencies, or resources with incomplete descriptions. There may be many reasons for that, all completely valid, e.g, in many cases those who host a digital repository have few human resources to work on improving metadata, and often data providers are not themselves the metadata creators. In this paper we present our ongoing work aiming at defining computable metrics to assess metadata quality and automatize metadata quality check process.
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