Data Quality: A Systematic Review of the Biosurveillance Literature
PDF
HTML

How to Cite

Reynolds, T., Painter, I., & Streichert, L. (2013). Data Quality: A Systematic Review of the Biosurveillance Literature. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4376

Abstract

A literature review of data quality issues highlights how the quality of health data has been discussed in the biosurveillance literature and frames it in relation to the broader data quality (DQ) field. Results of the literature review include: completeness as the most commonly measured dimension of DQ; methods for regular DQ monitoring and occasional evaluation; various methods of improving data quality; and communication with the data entry personnel as the most common preventative step. The results suggest that developing a DQ program could facilitate understanding the sources of poor DQ; recognizing DQ problems; and improving DQ for improved efficiency and effectiveness of biosurveillance systems.
https://doi.org/10.5210/ojphi.v5i1.4376
PDF
HTML
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.