Center of excellence for mobile sensor data-to-knowledge (MD2K)

Abstract

Mobile sensor data-to-knowledge (MD2K) was chosen as one of 11 Big Data Centers of Excellence by the National Institutes of Health, as part of its Big Data-to-Knowledge initiative. MD2K is developing innovative tools to streamline the collection, integration, management, visualization, analysis, and interpretation of health data generated by mobile and wearable sensors. The goal of the big data solutions being developed by MD2K is to reliably quantify physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk. The research conducted by MD2K is targeted at improving health through early detection of adverse health events and by facilitating prevention. MD2K will make its tools, software, and training materials widely available and will also organize workshops and seminars to encourage their use by researchers and clinicians.

Keywords: big data; data science research; knowledge discovery; mobile health (mHealth); wearable sensors.

© The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Figures

Figure 1:

Five sources of mobile sensor data in mobile sensor data-to-knowledge applications. Each sensor (not embedded in the phone) transmits the data it collects over a wireless channel to the smart phone.

Figure 2:

Major outcomes of mobile sensor data-to-knowledge include both data science research and knowledge discovery, which are tightly coupled. Application of data science research, on the left, to the data collected by mobile sensors results in knowledge discovery, on the right.