Stingone Jeanette A, Mervish Nancy, Kovatch Patricia, McGuinness Deborah L, Gennings Chris, Teitelbaum Susan L
aIcahn School of Medicine at Mount Sinai, New York, NY bRenssealear Polytechnic Institute, Troy, NY, USA.
Curr Opin Pediatr. 2017 Apr;29(2):231-239. doi: 10.1097/MOP.0000000000000467.
Increasingly, there is a need for examining exposure disease associations in large, diverse datasets to understand the complex determinants of pediatric disease and disability. Recognizing that children's health research consortia will be important sources of big data, it is crucial for the pediatric research community to be knowledgeable about the challenges and opportunities that they will face. The present review will provide examples of existing children's health consortia, highlight recent pooled analyses conducted by children's health research consortia, address common challenges of pooled analyses, and provide recommendations to advance collective research efforts in pediatric research.
Formal consortia and other collective-science initiatives are increasingly being created to share individual data from a set of relevant epidemiological studies to address a common research topic under the concept that the joint effort of many individual groups can accomplish far more than working alone. There are practical challenges to the participation of investigators within consortia that need to be addressed in order for them to work.
Researchers who access consortia with data centers will be able to go far beyond their initial hypotheses and potentially accomplish research that was previously thought infeasible or too costly.
越来越需要在大型多样的数据集中研究暴露与疾病的关联，以了解儿童疾病和残疾的复杂决定因素。认识到儿童健康研究联盟将成为大数据的重要来源，儿科研究界了解他们将面临的挑战和机遇至关重要。本综述将列举现有儿童健康联盟的例子，强调儿童健康研究联盟最近进行的汇总分析，探讨汇总分析的常见挑战，并提出推进儿科研究集体努力的建议。
越来越多的正式联盟和其他集体科学倡议正在形成，以共享一系列相关流行病学研究的个体数据，以解决一个共同的研究主题，其理念是许多个体小组的共同努力所能完成的远远超过单独工作。联盟内研究人员的参与存在实际挑战，需要加以解决才能开展工作。
使用数据中心访问联盟的研究人员将能够超越他们最初的假设，并有可能完成以前认为不可行或成本过高的研究。
