Harnessing the heart of big data

Sarah B Scruggs; Karol Watson; Andrew I Su; Henning Hermjakob; John R Yates 3rd; Merry L Lindsey; Peipei Ping

doi:10.1161/CIRCRESAHA.115.306013

Harnessing the heart of big data

Circ Res. 2015 Mar 27;116(7):1115-9. doi: 10.1161/CIRCRESAHA.115.306013.

Authors

Sarah B Scruggs¹, Karol Watson¹, Andrew I Su¹, Henning Hermjakob¹, John R Yates 3rd¹, Merry L Lindsey¹, Peipei Ping²

Affiliations

¹ From the Departments of Physiology, Medicine, and Bioinformatics (S.B.S., P.P.) and Department of Medicine (K.W.), University of California, Los Angeles School of Medicine; Department of Molecular and Experimental Medicine (A.I.S.) and Departments of Chemical Physiology and Molecular and Cellular Neurobiology (J.R.Y.), The Scripps Research Institute, La Jolla, CA; Proteomics Services, European Molecular Biology Laboratories, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom (H.H.); and Departments of Physiology and Medicine, University of Mississippi Medical Center, Jackson (M.L.L.).
² From the Departments of Physiology, Medicine, and Bioinformatics (S.B.S., P.P.) and Department of Medicine (K.W.), University of California, Los Angeles School of Medicine; Department of Molecular and Experimental Medicine (A.I.S.) and Departments of Chemical Physiology and Molecular and Cellular Neurobiology (J.R.Y.), The Scripps Research Institute, La Jolla, CA; Proteomics Services, European Molecular Biology Laboratories, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom (H.H.); and Departments of Physiology and Medicine, University of Mississippi Medical Center, Jackson (M.L.L.). peipeiping@earthlink.net.

Abstract

The exponential increase in Big Data generation combined with limited capitalization on the wealth of information embedded within Big Data have prompted us to revisit our scientific discovery paradigms. A successful transition into this digital era of medicine holds great promise for advancing fundamental knowledge in biology, innovating human health and driving personalized medicine, however, this will require a drastic shift of research culture in how we conceptualize science and use data. An e-transformation will require global adoption and synergism among computational science, biomedical research and clinical domains.

Keywords: crowdsourcing; database; heart diseases; information storage and retrieval; metabolomics; proteomics; user-computer interface.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Cardiology / statistics & numerical data*
Cardiovascular Diseases / epidemiology
Cardiovascular Diseases / therapy
Crowdsourcing
Data Display
Data Mining / trends*
Databases as Topic
Electronic Health Records
Forecasting
Humans
Information Science / organization & administration
Information Science / trends*
Information Systems / organization & administration
Knowledge Bases
Models, Theoretical
National Institutes of Health (U.S.)
Research / organization & administration
Software
United States
User-Computer Interface

Abstract

Publication types

MeSH terms

Grants and funding