Data Dashboards

David Perry
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引用次数: 4

Abstract

DecodeME is a research project that aims to find the genetic causes of why people become ill with myalgic encephalomyelitis (ME) / Chronic Fatigue Syndrome (CFS). Participants are able to take part from the comfort of their home without having to first visit a clinic. Registration opened in September 2022. Since then, we have had over 25,000 people register to take part in this research, with over 6000 registering on the first day alone. Data workflows and automation are critical when operating at such scale. Decision making and progress are best underpinned by data driven insights from the live source data.  The talk discusses and demonstrates how we achieved this within our project. https://www.decodeme.org.uk/
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DecodeME是一个研究项目,旨在发现人们患上肌痛性脑脊髓炎(ME) /慢性疲劳综合征(CFS)的遗传原因。参与者可以在舒适的家中参加,而不必先去诊所。报名于2022年9月开始。从那时起,我们已经有超过25,000人注册参加这项研究,仅第一天就有超过6,000人注册。在这种规模的操作中,数据工作流和自动化至关重要。实时源数据的数据驱动见解是决策制定和进展的最佳支撑。该演讲讨论并演示了我们如何在项目中实现这一目标。https://www.decodeme.org.uk/
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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