In Scientific data
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.
Palmerini Luca, Reggi Luca, Bonci Tecla, Del Din Silvia, Micó-Amigo M Encarna, Salis Francesca, Bertuletti Stefano, Caruso Marco, Cereatti Andrea, Gazit Eran, Paraschiv-Ionescu Anisoara, Soltani Abolfazl, Kluge Felix, Küderle Arne, Ullrich Martin, Kirk Cameron, Hiden Hugo, D’Ascanio Ilaria, Hansen Clint, Rochester Lynn, Mazzà Claudia, Chiari Lorenzo
2023-Jan-19
