School of Psychology, University of Nottingham, Nottingham, NG7 2RD, UK.
Neuroinformatics. 2022 Jan;20(1):109-137. doi: 10.1007/s12021-021-09519-6. Epub 2021 May 11.
We are now in a time of readily available brain imaging data. Not only are researchers now sharing data more than ever before, but additionally large-scale data collecting initiatives are underway with the vision that many future researchers will use the data for secondary analyses. Here I provide an overview of available datasets and some example use cases. Example use cases include examining individual differences, more robust findings, reproducibility-both in public input data and availability as a replication sample, and methods development. I further discuss a variety of considerations associated with using existing data and the opportunities associated with large datasets. Suggestions for further readings on general neuroimaging and topic-specific discussions are also provided.
我们现在正处于脑成像数据易于获取的时代。现在，不仅研究人员比以往任何时候都更愿意分享数据，而且还在进行大规模的数据收集计划，期望未来有更多的研究人员可以使用这些数据进行二次分析。在这里，我将概述可用的数据集，并提供一些示例用例。示例用例包括研究个体差异、更可靠的发现、可重复性——既包括公共输入数据，也包括作为复制样本的可用性，以及方法开发。我还进一步讨论了使用现有数据的各种注意事项以及与大型数据集相关的机会。此外，我还提供了有关一般神经影像学和主题特定讨论的进一步阅读建议。
