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

Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa Al'Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek ShettyIda Sim, Bonnie Spring, Mani Srivastava, David W. Wetter

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1137-1142
Number of pages6
JournalJournal of the American Medical Informatics Association
Issue number6
StatePublished - Nov 1 2015

Bibliographical note

Funding Information:
This research was supported by grant U54EB020404 awarded by the National Institute of Biomedical Imaging and Bioengineering through funds provided by the trans-National Institutes of Health Big Data to Knowledge initiative (www.

Publisher Copyright:
© The Author 2015.


  • Big data
  • Data science research
  • Knowledge discovery
  • Mobile health (mHealth)
  • Wearable sensors


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