Advances in Solutions for Data Quality

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Author(s): Jim Thomas and David Boone

Year: 2019

Advances in Solutions for Data Quality Abstract:

For data to be useful to improve health outcomes, they must be trusted by data users and program planners. The first page of this brief presents a picture of the global context of data quality—past, present, and future. The second page offers links to data quality resources.

The infographic begins with the global goal for data quality. It then outlines the data quality situation in 2013; moves into the next five years, with a list of strategic approaches and progress made (“2014–2018 Advances”); and ends with recommendations of areas on which global players should focus to improve data quality (“Next”).

The resources on the second page are categorized by human resources, data use, gender, geospatial data, data quality assessment, digital data, and scale.