Implementation of Metadata Quality Metrics and Application on Public Government Data

Konrad Johannes Reiche, Edzard Höfig
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引用次数: 40

Abstract

Public government data refers to documents and proceedings which are freely available and accessible. Repositories facilitate the collection, publishing and distribution of data in a centralized and possibly standardized way. Metadata is used to catalog and organize the provided data. The operationality and interoperability depends on the metadata quality. In order to measure the efficiency of a repository the metadata quality needs to be quantified. Quality assessment is considered to be most reliable when carried out by a human expert. This approach, however, is not always feasible. Hence, an automatic assessment of the quality of metadata should be pursued. Proposed metrics from the field of metadata quality assessment are taken, implemented and applied to three public government data repositories, namely GovData.de (Germany), data.gov.uk (United Kingdom) and publicdata.eu (Europe). Five quality metrics were applied: completeness, weighted completeness, accuracy, richness of information and accessibility. The metrics and their implementation will be discussed in detail and the results evaluated.
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元数据质量度量的实现及其在政府公共数据中的应用
政府公共数据是指可以免费获取和查阅的文件和程序。存储库以一种集中的、可能是标准化的方式促进数据的收集、发布和分发。元数据用于编目和组织所提供的数据。可操作性和互操作性取决于元数据质量。为了度量存储库的效率,需要对元数据质量进行量化。由人类专家进行的质量评估被认为是最可靠的。然而,这种方法并不总是可行的。因此,应该对元数据的质量进行自动评估。从元数据质量评估领域提出的度量标准被采纳、实施并应用于三个公共政府数据存储库,即GovData.de(德国)、data.gov.uk(英国)和publicdata。欧盟(欧洲)。应用了五个质量指标:完整性、加权完整性、准确性、信息丰富度和可及性。我们将详细讨论度量标准及其实现,并对结果进行评估。
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