面向开放数据门户的数据质量模型

E. Oviedo, J. Mazón, J. Zubcoff
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引用次数: 6

摘要

可以不受任何限制地重用和重新分发的数据称为开放数据。这两个特点使得它的质量会受到很大影响。迄今为止,最常用的开放数据质量标准是那些建立在五星模型中的标准。本文旨在扩展这一模型,并证实开放数据的具体质量标准及其相应的测量机制的存在。本文提出了一种新的开放数据门户质量模型,该模型从定性和定量两个角度进行了阐述。为了说明该模型的使用,我们基于哥斯达黎加Perez Zeledon市的真实公开数据实施了一个研究案例,并用定性模型对其进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a data quality model for open data portals
Data that can be reused and redistributed without any restriction is called Open Data. These two features make its quality can be greatly affected. To date, the most used quality criteria of Open Data are those established in the 5-Stars Model. This article aims to extend this model and corroborate the existence of specific quality criteria for Open Data and its corresponding measurement mechanisms. We propose a new Quality Model for Open Data portals which is exposed from two points of view: qualitative and quantitative. To illustrate the use of this model, we implemented a study case based on real open data about Municipality of Perez Zeledon in Costa Rica, which was evaluated with the qualitative model.
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