Data Sharing Commitment
The Mobilise-D consortium collects a high volume of quantitative and qualitative data related to its main objectives. In particular, comprehensive data are being collected within the cross-sectional technical validation study (TVS, 2020-2022) and the longitudinal clinical validation study (CVS, 2021-2024). Mobilise-D is committed to making its data available to the wider community after collection and processing, subject to appropriate ethical and data privacy requirements being met.
Data Sharing Policy
Mobilise-D data will be shared through a secure platform following an application and authorisation procedure. Available data will consist of a list of datasets and metadata generated within the project, summary results of the various studies, and validated algorithms used to develop digital outcomes, following academic publication. The Mobilise-D Data Sharing Policy will become available here soon.
Data compendia
- Review data (Rev)
- Interview data (Int)
- In- and Out-of-Lab Data (IOL)
- Technical Validation Study (TVS)
- Clinical Validation Study (CVS)
Review data
Scoping review to identify existing studies in four medical conditions (Parkinson’s Disease, Multiple Sclerosis, Chronic Obstructive Pulmonary Disease, Hip Fracture), organize the results of those studies, and compare results between conditions and DMOs to suggest future research priorities. Article available here. We screened over 20,000 articles to identify 855 publications that met our eligibility criteria. Data is available here.
Interview data
1) Semi-structured interviews with 20 professionals with academic, industry or clinical
backgrounds, experienced in using wearable devices in research.
backgrounds, experienced in using wearable devices in research.
2) Semi-structured interviews with 30 participants in the Technical Validation Study.
In- and Out-of-Lab Data
Experimental data collected on 20 healthy subjects during both in-lab and real-world sessions. In the “In-lab” session, data are recorded during a large variety of different motor activities and walking conditions using: 1) A single inertial measurement unit attached at the pelvis level; 2) An optoelectronic stereo-photogrammetric system (for ground truth data); and 3) the INDIP system (multi-sensor network to establish real-world ground truth data). The “Out-of-Lab” session includes both indoor and outdoor conditions for a total duration of 2.5 hours using the single inertial unit and the INDIP system.
Technical Validation Study
Retrospective analysis of legacy digital mobility datasets for algorithm testing and validation, and a cross-sectional study with 115 participants (Chronic Obstructive Pulmonary Disease, Multiple Sclerosis, Parkinson’s Disease, Hip Fracture recovery, Congestive Heart Failure, and healthy adults) to assess performance of various algorithms under different experimental scenarios, including both in- and out-of–lab recordings.
Clinical Validation Study
Prospective, 2-year follow-up of up to 2400 patients from 4 cohorts (Chronic Obstructive Pulmonary Disease, Multiple Sclerosis, Parkinson’s Disease, Hip Fracture recovery) over 5 time points at 16 clinical sites across Europe. Data includes comprehensive baseline assessment, clinical measurements, and daily-life activity monitoring.
Data showcase
Data samples that illustrate the datasets and their metadata, will be added here when each data compendium becomes available for sharing. More information will come soon.
Apply for access
More information about the application and authorisation procedure will come soon.