In the scholarly article, "Assessing Data Quality for Information Products: Impact of Selection, Projection, and Cartesian Product", Amir Parssian assesses the management of data quality and the quality of associated data management processes because it is critical for organizations. First off this article is a scholarly because of the post by TAMU library that states it is. Also it cites all of its information and the tone is not casual like most non scholarly articles would be. Continuing on about the article, Amir Parssian assesses these types of quality along the lines of accuracy and completeness. They examine how the quality measure of source data affect the quality for information outputs produced by using the relational algebra operations selection, projection, and Cartesian product. This data can then be used to determine how quality features attached with varied data sources affect the quality of the derived data.
This article conveys a successful rhetorical message. It does this by showing actual calculations of information quality. It does get its point across also by listing mistakes that were made in their, if you will experiment. Parssian also provides ethos by having his article be scholarly, making people believe in what he has to say. Here's a link to the article to see for yourself.
http://mansci.journal.informs.org/content/56/12/2316.full.pdf+html
I agree with your assessment of the article's scholarly ranking. The citation makes the source very reliable, as does accessing it through a university's database.
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