Role of Big Data in Cardiovascular Research

B ig Data resemble people: interrogate them just so, and they will tell you whatever you want to hear. Perhaps you, gentle reader, have noticed that there seems to be an awful lot more data in recent years, but perhaps not a lot more knowledge. Welcome to the world of Big Data. Just what is Big Data, and how is it changing the world of cardiovascular medicine? Big Data may be defined as large sets of data that are given to analytic approaches that may reveal underlying patterns, associations, or trends. Big Data has also been characterized by the 4 Vs of volume (a lot of data), variety (data from different sources and in different forms), velocity (data are accumulated rapidly), and veracity (uncertainty as to whether the data are correct). However, these characteristics do not adequately define Big Data; one might say that if you have seen one set of Big Data you have seen one set of Big Data. It is perhaps more useful to think about Big Data as it relates to sources, repositories, and use (Figure 1, Table). Where do such data come from? How are they stored? How can they be analyzed and visualized? What can we learn from Big Data?

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