User:Naanjee44/Data Discourse/HassanBadreddine Peer Review

General info

 * Whose work are you reviewing?

Nanjee44


 * Link to draft you're reviewing
 * User:Naanjee44/Data Discourse

Evaluate the drafted changes
Lead

Your wikipedia article looks great! I think you may benefit by adding a quick opening sentence or paragraph quickly outlining what you'll be talking about. You may want to include all the major sections mentioned in your article. You can quickly do this by, summarizing what you have written. You may also want to look into adding more major sections to better understand what data discourse means. You can add a section for, open data and discourse.

Content

You have a definition of what discourse is. I think your definition can benefit slightly with a more concise definition. The opening sentence is great and captures the image what discourse means. but the following sentence is not too clear on what discourse means. You will also benefit from including one of Foucault's contributions to the term.

"Discourse is a notion which produces something else, rather than a notion which exists in and of itself and which can be examined in vacuum." I think this sentence can be a bit more clear for example, you can replace it with or reword it as;

"Discourse is a considered to be a institutionalized way of thinking that can be manifested through language, a social boundary defining what can be said about a specific topic". link to where article is found from https://repository.uinjkt.ac.id/dspace/bitstream/123456789/34632/2/NABILA-FAH.pdf. This is also based off a definition of Micheal Foucault's work, so it might be useful to add as you have already mentioned as a contributor to theme of discourse.

The definition of Data Discourse is concise and clear, It highlights what data as discourse means and it explains well the relationship to open and big data. Your article might benefit from expanding on what data means as a discourse, and how can data specially be a discourse. You may want to look into the book 'Data as Discourse' by Margret Wetherell. You may want to add more on the 'Data as a Discourse' section briefly giving examples examples of specific data discourses as well, and/or outlining how data is being as discourse.

You already have a section covering examples in big data. It looks like a great start and you should continue on the path you have already started, and continue providing another example. I think you should also expand on how big data is used to analyze and understand environmental discourses. I can see you began writing on it, and it would be beneficial to look into 'The Data Revolution' Chapter 10, by Rob Kitchin, concerning government and public services using big data. This will help you expand on what you already have as it brushes exactly how data discourses are being used to benefit efficiency.

Your article would also benefit from examples of discourses in open data as well. 'The Data revolution' dedicates chapter 5, to strengthen the understanding of the relationship between discourse and open data and maybe look into how open data and discourse is producing better government decision making.

The next section focusing on the overlap with other theories looks to be a great start as well. This section would benefit from an example a discursive regime is used to give the reader a visual understanding of what is meant. The definition is clear and concise, and would further benefit through an example. I enjoyed reading how it was tied back to the idea of data narratives. The content is up to date, consisting of relevant topics for your article. You can go into more depth on Data imaginers as well, provide a deifntion for the term, since you tie together into data discourse.

Tone and Balance

The tone and balance of your article seems excellent so far. It is very neutral and does not sound like it leads towards any biases toward a particular stance. The viewpoints in your article are very well represented, providing the reader with a clear understanding of each major section you have included. The content does not come off to the reader as persuasive, rather it comes off as informative, providing context onto what data discourse means and how it is applied.

Source and References:

All the content in the article so far is consistent with its sourcing backed by all reliable secondary sources. The content is an accurate reflection of what the source says. All the sources relatively current, with work published within the last 15 years. The sources are thorough and consistent of available literature on the topic.