Talk:Big Data In Sports

1. The length of the article is 1078. I liked how the article clearly defined what Big Data is and then made an attempt to show what the ethical issues are withing Big Data in Sports. However, I would recommend that when you are talking about Big Data specifically on the field metrics or off the field metric you should give examples for the reader to better understand what you are referencing. Personally I was able to understand what you were describing when you mentioned on the on the field metrics but I feel most non sports fans would not understand. For example when talking about player performance data you can talk about Offensive and Defensive War in baseball or maybe True Shooting percentage in Basketball. Similarly, I would give an example of specific off the field metric to help the reader understand what these are. Another recommendation I have while reading your article was giving a historical background in Big Data in Sports.

2. Feedback Template:

1 Length Verify the length of the article and comment on it.

2 Structure Does the article include the 3 major components of a good article? (1) an opening paragraph that summarizes the issue, 2) the body of the article in one or more sections, 3) statements are backed up by references to reliable sources. Elaborate on how the author met each component and how they can improve.

3 Clarity Is the issue at stake clear to you? Do you understand what are the ethical issues exposed in the article and why they are important?

4 Objective reporting (Neutral point of view) Is the article reporting on ethical issues / controversies objectively? i.e., The author does not state personal opinions; if there are multiple stakeholders involved in a controversy, the author reports on multiple perspectives on the same issue; all statements are backed up by references; the author does not argue for anything, simply describes a controversy.