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Open Statistics: The Rise of a New Era for Open Data?

机译:开放统计:开放数据新时代的兴起?

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A large part of open data concerns statistics, such as demographic, economic and social data (henceforth referred to as Open Statistical Data, OSD). In this paper we start by introducing open data fragmentation as a major obstacle for OSD reuse. We proceed by outlining data cube as a logical model for structuring OSD. We then introduce Open Statistics as a new area aiming to systematically study OSD. Open Statistics reuse and extends methods from diverse fields like Open Data, Statistics, Data Warehouses and the Semantic Web. In this paper, we focus on benefits and challenges of Open Statistics. The results suggest that Open Statistics provide benefits not present in any of these fields alone. We conclude that in certain cases OSD can realise the potential of open data.
机译:开放数据的大部分涉及统计数据,例如人口统计,经济和社会数据(从此称为开放统计数据,OSD)。在本文中,我们首先将开放数据碎片引入作为OSD重用的主要障碍。我们通过将数据多维数据集填充为构造OSD的逻辑模型。然后,我们将公开统计数据介绍为旨在系统地研究OSD的新领域。打开统计数据重用并扩展来自不同领域的方法,如开放数据,统计信息,数据仓库和语义Web。在本文中,我们专注于开放统计数据的利益和挑战。结果表明,开放统计数据仅提供任何这些领域不存在的福利。我们得出结论,在某些情况下,OSD可以实现开放数据的潜力。

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