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Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies

机译:质量,数量和和谐:DataSHaPER方法整合跨生物临床研究的数据

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Background Vast sample sizes are often essential in the quest to disentangle the complex interplay of the genetic, lifestyle, environmental and social factors that determine the aetiology and progression of chronic diseases. The pooling of information between studies is therefore of central importance to contemporary bioscience. However, there are many technical, ethico-legal and scientific challenges to be overcome if an effective, valid, pooled analysis is to be achieved. Perhaps most critically, any data that are to be analysed in this way must be adequately ‘harmonized’. This implies that the collection and recording of information and data must be done in a manner that is sufficiently similar in the different studies to allow valid synthesis to take place.
机译:背景技术大量的样本量通常对于寻求确定决定慢性病的病因和进展的遗传,生活方式,环境和社会因素之间复杂的相互作用至关重要。因此,研究之间的信息共享对当代生物科学至关重要。但是,要实现有效,有效,汇总的分析,还需要克服许多技术,伦理法律和科学挑战。也许最关键的是,必须以这种方式对要分析的任何数据进行充分的“协调”。这意味着必须以在不同研究中足够相似的方式进行信息和数据的收集和记录,以允许进行有效的合成。

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