Displaying results 25 - 27 of 27
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Data Quality: A Systematic Review of the Biosurveillance Literature
Content Type: Abstract
Data quality monitoring is necessary for accurate disease surveillance. However it can be challenging, especially when “real-time” data are required. Data quality has been broadly defined as the degree to which data are suitable for use by data… read more -
Towards a Framework for Data Quality Properties of Indicators used in Surveillance
Content Type: Abstract
Effective use of data for disease surveillance depends critically on the ability to trust and quantify the quality of source data. The Scalable Data Integration for Disease Surveillance project is developing tools to integrate and present… read more -
Identifying Current Practical Analytic Challenges - the Analytic Solutions Committee
Content Type: Webinar
Presented September 21, 2017. The purpose of this webinar is to introduce the Analytic Solution Committees (ASC) to ISDS members, explaining how the committee works and how it… read more