University of Bologna, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi', Bologna, Italy.
University of Bologna, Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), Bologna, Italy.
Sci Data. 2023 Jan 19;10(1):38. doi: 10.1038/s41597-023-01930-9.
Wearable devices are used in movement analysis and physical activity research to extract clinically relevant information about an individual's mobility. Still, heterogeneity in protocols, sensor characteristics, data formats, and gold standards represent a barrier for data sharing, reproducibility, and external validation. In this study, we aim at providing an example of how movement data (from the real-world and the laboratory) recorded from different wearables and gold standard technologies can be organized, integrated, and stored. We leveraged on our experience from a large multi-centric study (Mobilise-D) to provide guidelines that can prove useful to access, understand, and re-use the data that will be made available from the study. These guidelines highlight the encountered challenges and the adopted solutions with the final aim of supporting standardization and integration of data in other studies and, in turn, to increase and facilitate comparison of data recorded in the scientific community. We also provide samples of standardized data, so that both the structure of the data and the procedure can be easily understood and reproduced.
可穿戴设备在运动分析和身体活动研究中被用于提取关于个体活动能力的临床相关信息。然而，协议、传感器特征、数据格式和金标准的异质性仍然是数据共享、可重复性和外部验证的障碍。在本研究中，我们旨在提供一个示例，说明如何组织、整合和存储来自不同可穿戴设备和金标准技术的运动数据（来自真实世界和实验室）。我们利用我们在一个大型多中心研究（ Mobilise-D ）中的经验，提供了一些指南，这些指南可以证明对于访问、理解和重用该研究中将要提供的数据非常有用。这些指南强调了所遇到的挑战和采用的解决方案，最终目的是支持其他研究中数据的标准化和整合，并促进科学界记录的数据的比较。我们还提供了标准化数据的样本，以便轻松理解和复制数据的结构和过程。
