Advances in mobile and wearable sensing are allowing the inference of activities and behaviors associated with health by facilitating the collection of daily-life data. Several research initiatives in this area are collecting large amounts of data from studies in diverse fields of healthcare and wellbeing raising the challenge of integrating heterogeneous datasets. The healthcare initiative of the SmartSDK project aims at developing schemas and software infrastructure to facilitate the harmonisation, curation, and sharing of mobile sensing datasets for healthcare. At an initial phase we have developed a mobile application that collects data from three physical tests conducted by clinical supervision to assess the risk of falls in older adults, and a data model named Open Health-Context which consist of a collection of entities and data-types associated to this application.
