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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:开放数据的很大一部分涉及统计数据,例如人口统计,经济和社会数据(以下称为开放统计数据,OSD)。在本文中,我们首先介绍开放数据碎片化,这是OSD重用的主要障碍。我们首先概述数据多维数据集,将其作为构建OSD的逻辑模型。然后,我们将开放统计信息作为旨在系统研究OSD的新领域而引入。 Open Statistics重用并扩展了来自Open Data,Statistics,Data Warehouse和Semantic Web等不同领域的方法。在本文中,我们关注开放统计的优势和挑战。结果表明,开放统计提供的收益是仅在这些领域中没有的。我们得出的结论是,在某些情况下,OSD可以实现开放数据的潜力。

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