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生物样本库与大数据:发展“大数据指标”的必要性。

Biobanking with Big Data: A Need for Developing "Big Data Metrics".

作者信息

Zisis Kozlakidis

机构信息

Division of Infection and Immunity, University College London , London, United Kingdom .

出版信息

Biopreserv Biobank. 2016 Oct;14(5):450-451. doi: 10.1089/bio.2015.0106. Epub 2016 Jun 1.

Abstract

The term "big data" has often been used as an all-encompassing phrase for research that involves the use of large-scale data sets. However, the use of the term does little to signify the underlying complexity of definitions, of data sets, and of the requirements that need to be taken into consideration for sustainable research and the estimation of downstream impact. In particular, "big data" is frequently connected with biobanks and biobank networks as the institutions involved in tissue preservation are increasingly and perhaps unavoidably linked to the de facto preservation of information.

摘要

“大数据”一词常被用作一个涵盖性术语,用于涉及使用大规模数据集的研究。然而,该术语的使用对于定义、数据集以及可持续研究和下游影响评估所需考虑的要求的潜在复杂性几乎没有任何意义。特别是,“大数据”经常与生物样本库和生物样本库网络相关联,因为参与组织保存的机构越来越多地且可能不可避免地与信息的实际保存联系在一起。

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