Stewart Robert, Davis Katrina
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Box 63, De Crespigny Park, London, SE5 8AF, UK.
Soc Psychiatry Psychiatr Epidemiol. 2016 Aug;51(8):1055-72. doi: 10.1007/s00127-016-1266-8. Epub 2016 Jul 27.
'Big data' are accumulating in a multitude of domains and offer novel opportunities for research. The role of these resources in mental health investigations remains relatively unexplored, although a number of datasets are in use and supporting a range of projects. We sought to review big data resources and their use in mental health research to characterise applications to date and consider directions for innovation in future.
A narrative review.
Clear disparities were evident in geographic regions covered and in the disorders and interventions receiving most attention.
We discuss the strengths and weaknesses of the use of different types of data and the challenges of big data in general. Current research output from big data is still predominantly determined by the information and resources available and there is a need to reverse the situation so that big data platforms are more driven by the needs of clinical services and service users.
“大数据”正在众多领域中积累,并为研究提供了新的机遇。尽管已有一些数据集在使用并支持一系列项目,但这些资源在心理健康调查中的作用仍相对未被探索。我们试图回顾大数据资源及其在心理健康研究中的应用,以描述迄今为止的应用情况,并思考未来的创新方向。
进行叙述性综述。
在覆盖的地理区域以及受到最多关注的疾病和干预措施方面,明显存在差异。
我们讨论了使用不同类型数据的优缺点以及大数据的总体挑战。目前大数据的研究产出仍然主要由可用的信息和资源决定,有必要扭转这种局面,使大数据平台更多地由临床服务和服务使用者的需求驱动。