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Our data our society our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond

机译:我们的数据我们的社会我们的健康:英国及其他地区对包容性和透明性健康数据科学的愿景

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摘要

The last 6 years have seen sustained investment in health data science in the United Kingdom and beyond, which should result in a data science community that is inclusive of all stakeholders, working together to use data to benefit society through the improvement of public health and well‐being.However, opportunities made possible through the innovative use of data are still not being fully realised, resulting in research inefficiencies and avoidable health harms. In this paper, we identify the most important barriers to achieving higher productivity in health data science. We then draw on previous research, domain expertise, and theory to outline how to go about overcoming these barriers, applying our core values of inclusivity and transparency.We believe a step change can be achieved through meaningful stakeholder involvement at every stage of research planning, design, and execution and team‐based data science, as well as harnessing novel and secure data technologies. Applying these values to health data science will safeguard a social licence for health data research and ensure transparent and secure data usage for public benefit.
机译:在过去的六年中,英国及其他地区对健康数据科学进行了持续的投资,这将导致一个包括所有利益相关者在内的数据科学界共同努力,利用数据通过改善公共卫生和健康来使社会受益但是,通过创新性使用数据而创造的机会仍未得到充分实现,从而导致研究效率低下和可避免的健康危害。在本文中,我们确定了在健康数据科学中实现更高生产率的最重要障碍。然后,我们将利用先前的研究,领域专业知识和理论来概述如何克服这些障碍,并运用我们的包容性和透明度这一核心价值观。我们相信,在研究计划的每个阶段,有意义的利益相关者的参与都可以实现步骤的改变,设计,执行和基于团队的数据科学,以及利用新颖,安全的数据技术。将这些价值应用于健康数据科学将维护健康数据研究的社会许可,并确保透明和安全的数据使用以实现公共利益。

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