Mercurius, N. (2005, October). Scrubbing data for D3M. T.H.E. Journal. Retrieved April 26, 2006 from http://thejournal.com/articles/17433
In this article, the author discusses the techniques of mopping and scrubbing data in order to prevent some common pitfalls of data use, and ensure data quality for effective data-driven decision-making (DDDM) in educational organizations. Mopping is "the process of locating or identifying where and how data are stored" (p. 2). The information from this procedure helps data personnel develop data plans to address the data collection and analysis needs in their organizations. Scrubbing is the process of removing incorrect information from data sets that is caused by duplication, or inaccurate or incomplete inputting, to guarantee the quality of data and accuracy of data analysis. The author emphasizes that scrubbing is the responsibility of all individuals responsible for DDDM in an organization and that "attention must be paid by all participants in the collection process to the procedures in place at each school site for the standardization of data entry" (p. 5).
Data Integrity, Data Systems