This Is An Example Of How The Papers Should Look

THIS IS AN EXAMPLE OF HOW THE PAPERS SHOULD LOOK SummaryThe goal of the article, entitled Big Data: Challenges and opportunities for clinical pharmacology, is to explain how Big Data applies to the world of pharmacology and other areas of biology. It begins by defining what Big Data is (which I have thoroughly discussed in previous blogs) and how its perceived benefits can also present numerous challenges. The authors summarize one of the main challenges in Big Data by quoting a British statistician named David Spiegelhalter who said: “there are lots of small data problems that occur in Big Data. They don’t disappear because you’ve got lots of stuff… They get worse” (Flockhart, et al, 2016). Mr. Spiegelhalter is stating that while it is important to gather as much information as you can in Big Data, the ultimate goal is to draw meaningful conclusions, which becomes harder and harder as more variables are introduced. Traditionally, challenges for data scientists or analysts include missing data, lack of randomization, and inadequate control variables. These problems don’t go away as more data is introduced; they often become harder to identify and manage. The article also talks about the