User:Olubabasuyi/Data Archeology/HassanBadreddine Peer Review

General info

 * Whose work are you reviewing?

Olubabasuyi


 * Link to draft you're reviewing
 * User:Olubabasuyi/Data Archeology
 * Link to the published article
 * Data archaeology
 * Data archaeology

Evaluate the drafted changes
(Compose a detailed peer review here, considering each of the key aspects listed above if it is relevant. Consider the guiding questions, and check out the examples of what feedback looks like.)

Lead

The lead of this article looks very good and grasps the readers attention of what the article is going to be about. It includes an introductory sentence describing the outline of the article and covering all major sections in the article. The lead is concise and clear, and states very clear what data archeology is, and when the term was formed and how it used in the social sciences today.

Content

All the content added is relevant and major themes to the topic of data archeology. The content is up to date, very well organized and easy to read. The content follows in an orderly fashion, as each section is related to the next. There are no grammatical errors and each section reflects the major themes of Data archeology.

The section of disaster recovery, can use some a more in depth explanation of how it works and how it is used in relation to data archeology. You can start by defining what disaster recovery means and then follow that up with the sentence you have of it being used in natural disasters. You provide one example from Hurricane Marilyn, and that is a great example. You can build on it by providing how disaster recovery was used to clean the disks, and what the analysis of disaster recovery consists of, as done in the recovery section. It may also be beneficial to include what data archeology means in relation to disaster recovery.

In the section regarding prevention, it can beneficial to include steps in how creators and holders can employ digital preservation. You provide one example of how data archeology can be prevented, and it will be beneficial to provide more, and if possible any recent attempts by institutions and organizations to prevent data archeology.

Your article looks great! Amazing Job.