Haas Michelle C, Sommer Bettina B, Moerman Felix, van Rekum Simon, Graf Eveline S
Institute of Physiotherapy, School of Health Sciences, ZHAW Zurich University of Applied Sciences, Katharina-Sulzer-Platz 9, P.O. Box, 8401, Winterthur, Switzerland.
Services Research Data, President's Office, ZHAW Zurich University of Applied Sciences, Gertrudstrasse 15, 8401 Winterthur, Switzerland.
Data Brief. 2025 Jul 11;61:111884. doi: 10.1016/j.dib.2025.111884. eCollection 2025 Aug.
Sharing of data and code leverages transparency and reproducibility of data collection and analysis. However, in biomechanics, such sharing practices are still underdeveloped, possibly due to a lack of knowledge or support. Existing community standards as of today do not yet cover the entire data life cycle and are limited to reporting only one component of movement analysis such as kinematics, kinetics, or surface electromyography, rather than combining these elements. To address this gap, we developed comprehensive guidelines for reporting and sharing human movement data collected with various measurement systems. These guidelines were iteratively developed between January and June 2024, based on requirements which were informed by a survey and workshop within the scientific community. Survey and workshop results highlighted common data sharing practices among movement laboratories, but also significant challenges in standardizing formats, managing metadata, and navigating ethical and legal regulations. The resulting guidelines, structured along the data life cycle, provide detailed recommendations for each stage of the life cycle. Key recommendations include ensuring informed consent for data sharing, maintaining comprehensive metadata, using open formats, and selecting appropriate repositories. Unlike existing standards, which are typically specific to one measurement system, our guidelines integrate and extend upon these recommendations, emphasizing data sharing perspectives tailored to the Swiss and European legal frameworks. To facilitate reporting of metadata, templates are provided. By adhering to these guidelines, researchers can foster a more collaborative, transparent, and impactful scientific community in the field of human movement analysis.
数据和代码的共享有助于提高数据收集和分析的透明度及可重复性。然而，在生物力学领域，此类共享实践仍不够完善，这可能是由于缺乏相关知识或支持。截至目前，现有的社区标准尚未涵盖整个数据生命周期，且仅限于报告运动分析的一个组成部分，如运动学、动力学或表面肌电图，而非将这些元素结合起来。为弥补这一差距，我们制定了全面的指南，用于报告和共享通过各种测量系统收集的人体运动数据。这些指南于2024年1月至6月间根据科学界的一项调查和研讨会得出的要求反复制定。调查和研讨会结果凸显了运动实验室之间常见的数据共享做法，但也揭示了在标准化格式、管理元数据以及遵循道德和法律法规方面存在的重大挑战。由此产生的指南按照数据生命周期进行构建，为生命周期的每个阶段提供了详细建议。关键建议包括确保数据共享的知情同意、维护全面的元数据、使用开放格式以及选择合适的存储库。与通常特定于一种测量系统的现有标准不同，我们的指南整合并扩展了这些建议，强调了针对瑞士和欧洲法律框架量身定制的数据共享视角。为便于报告元数据，还提供了模板。通过遵循这些指南，研究人员可以在人体运动分析领域培育一个更具协作性、透明度和影响力的科学界。
