Mobile Data Repository and Analysis Platform

Date: 

Wednesday, September 18, 2013 - 07:45 to 16:30

Location: 

Calit2, University of California, San Diego

Organizer: Kevin Patrick, MD, MS, UCSD


Motivation:

Mobile devices are now increasingly used to monitor physical activity, sedentary behavior, stress, sleep and other important behaviors and experiences of daily living. While many mobile app developers (e.g., Ginger.io) are extracting data from smartphones and/or wearable devices to make inferences about individual behavior and experience patterns, the underlying data used for these are usually not available to others (including researchers) so there is little ability to improve on the inferences that can be drawn from them. Also, there is limited ability to integrate these data with data from other sources (e.g., social networks, EMRs, other personal data sources) to develop and evaluate the utility of higher-level comprehensive and multifaceted interventions and systems to address such things as concurrent risk factors for disease, multiple co-morbidities and concurrent poly-pharmacy (i.e., use of many medications that in and of themselves may have impacts on both sensed data from users and additional side effects).

There is a need to aggregate and annotate an open-source set of smartphone and wearable sensor-based data streams from a variety of users that can be used to test and validate new approaches to the creation of apps, services and health systems to improve individual and population health. In addition to raw data, a repository could also include a set of pre-processing algorithms that users may decide to apply, as has been done with Physionet. These algorithms could be tested and validated and advance the cause of standardizing the way pre-processing is performed.

Goals of the Workshop

The broad goals of the one-day session are as follows:

  • Bring together specialists in the analysis of health data originating from mobile devices to discuss the state-of-the-art in data analysis and important research questions.
  • Explain iDASH, including details of data and analytical tools currently available, so that participants can discuss how iDASH resources can support the development of an open repository of mobile data that are useful for research.
  • Expand the number and types of data sets that are available through iDASH for purposes of sharing with others.
  • Discuss ways to collaborate and to disseminate the use of data in the participants' institutions and professional societies' working groups.

 

AGENDA