Alert-Enabled Application Integrating Data Quality Monitoring for Multiple Sources
Author(s) -
Harold Gil,
Nicholas Michaud
Publication year - 2016
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v8i1.6531
Subject(s) - computer science , documentation , data integrity , data quality , quality (philosophy) , compromise , data science , data mining , world wide web , database , engineering , operations management , metric (unit) , philosophy , social science , epistemology , sociology , programming language
An interactive, point-and-click (R-Shiny) application was developed to facilitate the routine assessment of known data quality factors that compromise the integrity and timeliness of data sets used at the Marion County Public Health Department (MCPHD). The code (and associated documentation) for this application is being made available online so that other surveillance practitioners interested in adopting this approach can mix and match the features they are most interested in to create customized data quality assessment applications that meet their needs.
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