A Review of Data Quality Assessment Methods for Public Health Information Systems
A Review of Data Quality Assessment Methods for Public Health Information Systems
About this item
Full title
Author / Creator
Chen, Hong , Hailey, David , Wang, Ning and Yu, Ping
Publisher
Switzerland: MDPI
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI
Subjects
More information
Scope and Contents
Contents
High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of data quality, all need to be assessed for overall data quality assessment. We reviewed current data qua...
Alternative Titles
Full title
A Review of Data Quality Assessment Methods for Public Health Information Systems
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4053886
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4053886
Other Identifiers
ISSN
1660-4601,1661-7827
E-ISSN
1660-4601
DOI
10.3390/ijerph110505170
