Big data: what it can and cannot achieve.
Big data: what it can and cannot achieve.
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本文着眼于大型健康记录数据集的使用，通常与其他数据源相关联，以及它们在心理健康研究中的使用。这种大数据最全面的例子通常在斯堪的纳维亚国家，但在英国也有许多有用的来源。在英国心理健康研究中使用大数据的研究有许多有前途的方法创新，包括：混合研究设计，数据链接和增强研究招募的例子。然而，重要的是要意识到使用大数据进行研究的局限性，特别是各种分析陷阱。因此，我们警告不要把方法论的婴儿和洗澡水一起扔掉，并认为其他数据来源同样有价值，理想的研究应该包含一系列数据。
This article looks at the use of large health records datasets, typically linked with other data sources, and their use in mental health research. The most comprehensive examples of this kind of big data are typically found in Scandinavian countries however there are also many useful sources in the UK. There are a number of promising methodological innovations from studies using big data in UK mental health research, including: hybrid study designs, examples of data linkage and enhanced study recruitment. It is, though, important to be aware of the limitations of research using big data, particularly the various analysis pitfalls. We therefore caution against throwing out the methodological baby with the bathwater and argue that other data sources are equally valuable and ideally research should incorporate a range of data.