Month: November 2017

“Big data affects almost every aspect of our modern day lives. It makes a huge impact on not only our social lives, but also our basic needs such as healthcare.  Even though it is used greatly, the positives and negatives are rarely talked about.”

Lohr, Steven. The Age of Big Data. 2012, Article. November 16 2017.

I will use this source to give the basis of Big Data and help people who were like me and didn’t understand or have any background on it.

Ho Lee, Choong. Yoon, Hyung-Jin. Medical Big Data: Promises and Practices. 2017. Journal Article. November 16 2017.

I will use this source to help me with the pros and cons of medical data and be able to show both sides and a counter argument for why it is helpful but also can be dangerous.

Marr, Bernard. How Big Data is Changing Healthcare. 2015. Article. November 16 2017.

I will use this source to show the affect that the medical data has on us that we don’t even realize, and how much of a drastic change it is.

Gibbs, Frederick. Reznick, Jeffrey. Teaching and Researching the History of Medicine in the Era of (Big) Data. 2017. Journal Article. November 16 2017.

I wil use this source to show how medical data started which I think will set my paper apart from others and give another good basis on medical history.

My plan for this paper is to show the positives and negatives of Medical healthcare but make sure that I give good background on Big Data and write in the perspective of someone who has no idea what it is. I want to inform people of the affect it has on everyday live and how dangerous yet helpful it can be to have these medical record. I am using pros and cons to give both sides and give more of an information paper rather than an argumentative problem. More sources could help me but I would rather go in depth with minimal amount of sources instead of overdoing and confusing the reader with my research.

 

My interest with this topic is finding out how big data works in the medical field and healthcare. I want to go beyond just the medical records, and want to see what else can be put into big data. I want to see how confidential it is and see how exactly people hack into it or if people ever have. Also I want to know why and how it started. My thesis would be “Big Data seems to extremely useful and popular in the medical field, but seems to be a mystery to how it started”. I want to sort of show the history of big data.

A big question is where I generate the most data? I think I generate the most data through social media, and google searches. This is because I share a lot on social media and give a basic biography of myself, as well as adding in pictures or sharing things that have happened to me on that particular day which is huge for finding data. Also, with google searches a lot of my most asked questions and interests would be there that can tell you a lot about me and what I am interested in or what I am currently learning about and questioning. Another source of big data is my music. I think a persons personality can be seen greatly through the type of music they listen to and that could give a lot of data on me. Lastly, another source of big data could be my email. My email gets almost every notification sent to it from al of my social media, such as my shopping or browsing history, what I subscribe to, and things such as what I buy and who I am interacting with on different social media platforms. It also shares a lot about my school life and things that I may be working on, or classes I may be taking that can show my interests. These are the main sources of big data that I think can display a lot about myself.

After watching both the Cukier Ted talk and the Golbeck TED talk, I realized that I liked the Cukier one better. I liked this one because he used something to compare at the beginning, apple pie, something that everyone knows, and used it to explain how important big data is. Even with him showing the importance and significance of big data, he also showed the problems with big data and how it affects almost everything in our day to day lives. I liked how both gave examples such as a page that is curly fries or the way you sit up and showed how they can use that to figure out traits or make something personal to you, so when you are sharing one little piece of personal information, you are really sharing a lot more. What I want to know more about is what is the extend of big data and how big does it go besides social media? Also, I would like to know how big data started and if it primarily based on data from number or data from people?